diff --git a/docker/Dockerfile b/docker/Dockerfile
index cadabad1f..4ee50f739 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -1,4 +1,4 @@
-FROM mambaorg/micromamba:2.0.3-ubuntu24.04
+FROM mambaorg/micromamba:2.0.5-ubuntu24.04
 
 ENV CONTAINER_HOME=/home/$MAMBA_USER
 ENV PGDATA=${CONTAINER_HOME}/pgdata
diff --git a/environments/conda-linux-64.lock.yml b/environments/conda-linux-64.lock.yml
index 030a6cf6f..97663c14b 100644
--- a/environments/conda-linux-64.lock.yml
+++ b/environments/conda-linux-64.lock.yml
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 881fda227b1ccfa653b8df9a535ee504519e3051b410e102a354414c22f66ce6
+# input_hash: 17868cb060258ffba68e6ec8a027e690aeaaf903491bc3cbdf948787c99c390b
 
 channels:
   - conda-forge
@@ -21,7 +21,7 @@ dependencies:
   - anyio=4.8.0=pyhd8ed1ab_0
   - aom=3.9.1=hac33072_0
   - appdirs=1.4.4=pyhd8ed1ab_1
-  - arelle-release=2.36.7=pyhd8ed1ab_0
+  - arelle-release=2.36.9=pyhd8ed1ab_0
   - argon2-cffi=23.1.0=pyhd8ed1ab_1
   - argon2-cffi-bindings=21.2.0=py312h66e93f0_5
   - arrow=1.3.0=pyhd8ed1ab_1
@@ -57,13 +57,13 @@ dependencies:
   - backports=1.0=pyhd8ed1ab_5
   - backports.tarfile=1.2.0=pyhd8ed1ab_1
   - bcrypt=4.2.1=py312h12e396e_0
-  - beautifulsoup4=4.13.0=pyha770c72_0
+  - beautifulsoup4=4.13.2=pyha770c72_0
   - bleach=6.2.0=pyh29332c3_4
   - bleach-with-css=6.2.0=h82add2a_4
   - blinker=1.9.0=pyhff2d567_0
   - blosc=1.21.6=he440d0b_1
-  - boto3=1.36.11=pyhd8ed1ab_0
-  - botocore=1.36.11=pyge310_1234567_0
+  - boto3=1.36.12=pyhd8ed1ab_0
+  - botocore=1.36.12=pyge310_1234567_0
   - bottleneck=1.4.2=py312hc0a28a1_0
   - branca=0.8.1=pyhd8ed1ab_0
   - brotli=1.1.0=hb9d3cd8_2
@@ -109,14 +109,13 @@ dependencies:
   - dagster-webserver=1.9.11=pyhc5d1ea7_0
   - dask-core=2025.1.0=pyhd8ed1ab_0
   - dask-expr=2.0.0=pyhd8ed1ab_0
-  - databricks-sdk=0.42.0=pyhd8ed1ab_0
+  - databricks-sdk=0.43.0=pyhd8ed1ab_0
   - datasette=0.65.1=pyhd8ed1ab_0
   - dav1d=1.2.1=hd590300_0
   - dbus=1.13.6=h5008d03_3
   - debugpy=1.8.12=py312h2ec8cdc_0
   - decorator=5.1.1=pyhd8ed1ab_1
   - defusedxml=0.7.1=pyhd8ed1ab_0
-  - deltalake=0.24.0=py312h07cb367_0
   - deprecated=1.2.18=pyhd8ed1ab_0
   - distlib=0.3.9=pyhd8ed1ab_1
   - dnspython=2.7.0=pyhff2d567_1
@@ -182,7 +181,7 @@ dependencies:
   - graphite2=1.3.13=h59595ed_1003
   - graphql-core=3.2.6=pyh29332c3_0
   - graphql-relay=3.2.0=pyhd8ed1ab_1
-  - graphviz=12.2.1=h618ab57_0
+  - graphviz=12.2.1=h5ae0cbf_1
   - greenlet=3.1.1=py312h2ec8cdc_1
   - grpcio=1.67.1=py312hacea422_1
   - grpcio-health-checking=1.67.1=pyhd8ed1ab_1
@@ -384,7 +383,7 @@ dependencies:
   - pandoc=3.6.2=ha770c72_0
   - pandocfilters=1.5.0=pyhd8ed1ab_0
   - pango=1.56.1=h861ebed_0
-  - paramiko=3.5.0=pyhd8ed1ab_1
+  - paramiko=3.5.1=pyhd8ed1ab_0
   - parso=0.8.4=pyhd8ed1ab_1
   - partd=1.4.2=pyhd8ed1ab_0
   - pastel=0.2.1=pyhd8ed1ab_0
@@ -418,7 +417,6 @@ dependencies:
   - pure_eval=0.2.3=pyhd8ed1ab_1
   - pyarrow=18.1.0=py312h7900ff3_0
   - pyarrow-core=18.1.0=py312h01725c0_0_cpu
-  - pyarrow-hotfix=0.6=pyhd8ed1ab_1
   - pyasn1=0.6.1=pyhd8ed1ab_2
   - pyasn1-modules=0.4.1=pyhd8ed1ab_1
   - pybtex=0.24.0=pyhd8ed1ab_3
@@ -582,7 +580,7 @@ dependencies:
   - xlsxwriter=3.2.2=pyhd8ed1ab_0
   - xorg-libice=1.1.2=hb9d3cd8_0
   - xorg-libsm=1.2.5=he73a12e_0
-  - xorg-libx11=1.8.10=h4f16b4b_1
+  - xorg-libx11=1.8.11=h4f16b4b_0
   - xorg-libxau=1.0.12=hb9d3cd8_0
   - xorg-libxcomposite=0.4.6=hb9d3cd8_2
   - xorg-libxcursor=1.2.3=hb9d3cd8_0
diff --git a/environments/conda-lock.yml b/environments/conda-lock.yml
index 8489cb989..b72ba02a8 100644
--- a/environments/conda-lock.yml
+++ b/environments/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: 881fda227b1ccfa653b8df9a535ee504519e3051b410e102a354414c22f66ce6
-    osx-64: 0e66c2c5134fd7dcc98c7ea75aa4c0a3b06f62bf45fbb2ede2f6c4252e8b4e3c
-    osx-arm64: fedcc3f67e42150aed97e57c4e65edd4dfd8085c958ca43b4a841e6c2bc98245
+    linux-64: 17868cb060258ffba68e6ec8a027e690aeaaf903491bc3cbdf948787c99c390b
+    osx-64: 3ba3060f95f7cca7b0b57dcc26b27cf7362f666479bfecb76c998d5ed4b74e2f
+    osx-arm64: 73cdf399b1dae90c8f5b420504c02e42883d416d1790e0d8390943326d33eea8
   channels:
     - url: conda-forge
       used_env_vars: []
@@ -666,7 +666,7 @@ package:
     category: main
     optional: false
   - name: arelle-release
-    version: 2.36.7
+    version: 2.36.9
     manager: conda
     platform: linux-64
     dependencies:
@@ -681,14 +681,14 @@ package:
       python: ">=3.9,<3.13"
       python-dateutil: 2.*
       regex: ""
-    url: https://conda.anaconda.org/conda-forge/noarch/arelle-release-2.36.7-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/arelle-release-2.36.9-pyhd8ed1ab_0.conda
     hash:
-      md5: 00cf32010e58fbec8e6c0b9f80107697
-      sha256: a28ae1b201eedeef52b46ff9a284b1c91df05ff7fdbecba96adaa85582c9d53d
+      md5: 9ece791f1f00560d5b3a5ceb24b28bca
+      sha256: a0b12e726303a2497074001b184eec96e807a388ea84a38e98ccb1fd7053cde7
     category: main
     optional: false
   - name: arelle-release
-    version: 2.36.7
+    version: 2.36.9
     manager: conda
     platform: osx-64
     dependencies:
@@ -703,14 +703,14 @@ package:
       lxml: ">=4,<6"
       numpy: ">=1,<3"
       pillow: ">=10,<12"
-    url: https://conda.anaconda.org/conda-forge/noarch/arelle-release-2.36.7-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/arelle-release-2.36.9-pyhd8ed1ab_0.conda
     hash:
-      md5: 00cf32010e58fbec8e6c0b9f80107697
-      sha256: a28ae1b201eedeef52b46ff9a284b1c91df05ff7fdbecba96adaa85582c9d53d
+      md5: 9ece791f1f00560d5b3a5ceb24b28bca
+      sha256: a0b12e726303a2497074001b184eec96e807a388ea84a38e98ccb1fd7053cde7
     category: main
     optional: false
   - name: arelle-release
-    version: 2.36.7
+    version: 2.36.9
     manager: conda
     platform: osx-arm64
     dependencies:
@@ -725,10 +725,10 @@ package:
       lxml: ">=4,<6"
       numpy: ">=1,<3"
       pillow: ">=10,<12"
-    url: https://conda.anaconda.org/conda-forge/noarch/arelle-release-2.36.7-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/arelle-release-2.36.9-pyhd8ed1ab_0.conda
     hash:
-      md5: 00cf32010e58fbec8e6c0b9f80107697
-      sha256: a28ae1b201eedeef52b46ff9a284b1c91df05ff7fdbecba96adaa85582c9d53d
+      md5: 9ece791f1f00560d5b3a5ceb24b28bca
+      sha256: a0b12e726303a2497074001b184eec96e807a388ea84a38e98ccb1fd7053cde7
     category: main
     optional: false
   - name: argon2-cffi
@@ -2223,45 +2223,45 @@ package:
     category: main
     optional: false
   - name: beautifulsoup4
-    version: 4.13.0
+    version: 4.13.2
     manager: conda
     platform: linux-64
     dependencies:
       python: ">=3.9"
       soupsieve: ">=1.2"
       typing-extensions: ""
-    url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.0-pyha770c72_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.2-pyha770c72_0.conda
     hash:
-      md5: ad3754a495d170cb598f93f05c651adf
-      sha256: 089dcb5c91dab1423856147f604b389c55b3edede63e2367066d6ba27c6adef8
+      md5: 22b08b8f283909afee4cfff36b79f083
+      sha256: edc85562d1302c2f29005e23a71e1541b1c20647f47f9a1f690767e297f57b7b
     category: main
     optional: false
   - name: beautifulsoup4
-    version: 4.13.0
+    version: 4.13.2
     manager: conda
     platform: osx-64
     dependencies:
       typing-extensions: ""
       python: ">=3.9"
       soupsieve: ">=1.2"
-    url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.0-pyha770c72_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.2-pyha770c72_0.conda
     hash:
-      md5: ad3754a495d170cb598f93f05c651adf
-      sha256: 089dcb5c91dab1423856147f604b389c55b3edede63e2367066d6ba27c6adef8
+      md5: 22b08b8f283909afee4cfff36b79f083
+      sha256: edc85562d1302c2f29005e23a71e1541b1c20647f47f9a1f690767e297f57b7b
     category: main
     optional: false
   - name: beautifulsoup4
-    version: 4.13.0
+    version: 4.13.2
     manager: conda
     platform: osx-arm64
     dependencies:
       typing-extensions: ""
       python: ">=3.9"
       soupsieve: ">=1.2"
-    url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.0-pyha770c72_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.2-pyha770c72_0.conda
     hash:
-      md5: ad3754a495d170cb598f93f05c651adf
-      sha256: 089dcb5c91dab1423856147f604b389c55b3edede63e2367066d6ba27c6adef8
+      md5: 22b08b8f283909afee4cfff36b79f083
+      sha256: edc85562d1302c2f29005e23a71e1541b1c20647f47f9a1f690767e297f57b7b
     category: main
     optional: false
   - name: bleach
@@ -2431,52 +2431,52 @@ package:
     category: main
     optional: false
   - name: boto3
-    version: 1.36.11
+    version: 1.36.12
     manager: conda
     platform: linux-64
     dependencies:
-      botocore: ">=1.36.11,<1.37.0"
+      botocore: ">=1.36.12,<1.37.0"
       jmespath: ">=0.7.1,<2.0.0"
       python: ">=3.9"
       s3transfer: ">=0.11.0,<0.12.0"
-    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.36.11-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.36.12-pyhd8ed1ab_0.conda
     hash:
-      md5: 292aba4c704f45c687c36588cbbb7c91
-      sha256: 87f2a93711739d0344aee7743655b23c563a2f605a331c293d311189310252a3
+      md5: 1d7b8b58f9ca9b03d57edcc8798ae0ea
+      sha256: 870944d2d1d7f5d2a5af03a20446287417bef168b522c9a1fbd408b4e48329f4
     category: main
     optional: false
   - name: boto3
-    version: 1.36.11
+    version: 1.36.12
     manager: conda
     platform: osx-64
     dependencies:
       python: ">=3.9"
       jmespath: ">=0.7.1,<2.0.0"
       s3transfer: ">=0.11.0,<0.12.0"
-      botocore: ">=1.36.11,<1.37.0"
-    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.36.11-pyhd8ed1ab_0.conda
+      botocore: ">=1.36.12,<1.37.0"
+    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.36.12-pyhd8ed1ab_0.conda
     hash:
-      md5: 292aba4c704f45c687c36588cbbb7c91
-      sha256: 87f2a93711739d0344aee7743655b23c563a2f605a331c293d311189310252a3
+      md5: 1d7b8b58f9ca9b03d57edcc8798ae0ea
+      sha256: 870944d2d1d7f5d2a5af03a20446287417bef168b522c9a1fbd408b4e48329f4
     category: main
     optional: false
   - name: boto3
-    version: 1.36.11
+    version: 1.36.12
     manager: conda
     platform: osx-arm64
     dependencies:
       python: ">=3.9"
       jmespath: ">=0.7.1,<2.0.0"
       s3transfer: ">=0.11.0,<0.12.0"
-      botocore: ">=1.36.11,<1.37.0"
-    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.36.11-pyhd8ed1ab_0.conda
+      botocore: ">=1.36.12,<1.37.0"
+    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.36.12-pyhd8ed1ab_0.conda
     hash:
-      md5: 292aba4c704f45c687c36588cbbb7c91
-      sha256: 87f2a93711739d0344aee7743655b23c563a2f605a331c293d311189310252a3
+      md5: 1d7b8b58f9ca9b03d57edcc8798ae0ea
+      sha256: 870944d2d1d7f5d2a5af03a20446287417bef168b522c9a1fbd408b4e48329f4
     category: main
     optional: false
   - name: botocore
-    version: 1.36.11
+    version: 1.36.12
     manager: conda
     platform: linux-64
     dependencies:
@@ -2484,14 +2484,14 @@ package:
       python: ">=3.10"
       python-dateutil: ">=2.1,<3.0.0"
       urllib3: ">=1.25.4,!=2.2.0,<3"
-    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.36.11-pyge310_1234567_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.36.12-pyge310_1234567_0.conda
     hash:
-      md5: 95f1ce38f87d17b91f19169f0f118540
-      sha256: dbeee67c71e6db1d0facc4530635ff3ea905d0ac7bc48e789bdd91ccd91289bf
+      md5: 1fd48a6a5125e273d46cb1398da645fe
+      sha256: e547fbb24893229722b61123277a5f90abb7f61197623cdb04e46ee5f5cbff1b
     category: main
     optional: false
   - name: botocore
-    version: 1.36.11
+    version: 1.36.12
     manager: conda
     platform: osx-64
     dependencies:
@@ -2499,14 +2499,14 @@ package:
       python-dateutil: ">=2.1,<3.0.0"
       jmespath: ">=0.7.1,<2.0.0"
       urllib3: ">=1.25.4,!=2.2.0,<3"
-    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.36.11-pyge310_1234567_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.36.12-pyge310_1234567_0.conda
     hash:
-      md5: 95f1ce38f87d17b91f19169f0f118540
-      sha256: dbeee67c71e6db1d0facc4530635ff3ea905d0ac7bc48e789bdd91ccd91289bf
+      md5: 1fd48a6a5125e273d46cb1398da645fe
+      sha256: e547fbb24893229722b61123277a5f90abb7f61197623cdb04e46ee5f5cbff1b
     category: main
     optional: false
   - name: botocore
-    version: 1.36.11
+    version: 1.36.12
     manager: conda
     platform: osx-arm64
     dependencies:
@@ -2514,10 +2514,10 @@ package:
       python-dateutil: ">=2.1,<3.0.0"
       jmespath: ">=0.7.1,<2.0.0"
       urllib3: ">=1.25.4,!=2.2.0,<3"
-    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.36.11-pyge310_1234567_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.36.12-pyge310_1234567_0.conda
     hash:
-      md5: 95f1ce38f87d17b91f19169f0f118540
-      sha256: dbeee67c71e6db1d0facc4530635ff3ea905d0ac7bc48e789bdd91ccd91289bf
+      md5: 1fd48a6a5125e273d46cb1398da645fe
+      sha256: e547fbb24893229722b61123277a5f90abb7f61197623cdb04e46ee5f5cbff1b
     category: main
     optional: false
   - name: bottleneck
@@ -4598,45 +4598,45 @@ package:
     category: main
     optional: false
   - name: databricks-sdk
-    version: 0.42.0
+    version: 0.43.0
     manager: conda
     platform: linux-64
     dependencies:
       google-auth: ">=2.0,<3"
       python: ">=3.9"
       requests: ">=2.28.1,<3"
-    url: https://conda.anaconda.org/conda-forge/noarch/databricks-sdk-0.42.0-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/databricks-sdk-0.43.0-pyhd8ed1ab_0.conda
     hash:
-      md5: ab734df729200eabfb8b31e8c99e7ce9
-      sha256: 8c5c2326c401f5d64e851c7e6a40419f7d59ad145909e129f5a5cf1edc45fc82
+      md5: b56db2df08e71054541f172008a0ce50
+      sha256: 512c1b314c51017450c8baa56b112611106bbffe3e4e08b496e2ae09c50294c8
     category: main
     optional: false
   - name: databricks-sdk
-    version: 0.42.0
+    version: 0.43.0
     manager: conda
     platform: osx-64
     dependencies:
       python: ">=3.9"
       requests: ">=2.28.1,<3"
       google-auth: ">=2.0,<3"
-    url: https://conda.anaconda.org/conda-forge/noarch/databricks-sdk-0.42.0-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/databricks-sdk-0.43.0-pyhd8ed1ab_0.conda
     hash:
-      md5: ab734df729200eabfb8b31e8c99e7ce9
-      sha256: 8c5c2326c401f5d64e851c7e6a40419f7d59ad145909e129f5a5cf1edc45fc82
+      md5: b56db2df08e71054541f172008a0ce50
+      sha256: 512c1b314c51017450c8baa56b112611106bbffe3e4e08b496e2ae09c50294c8
     category: main
     optional: false
   - name: databricks-sdk
-    version: 0.42.0
+    version: 0.43.0
     manager: conda
     platform: osx-arm64
     dependencies:
       python: ">=3.9"
       requests: ">=2.28.1,<3"
       google-auth: ">=2.0,<3"
-    url: https://conda.anaconda.org/conda-forge/noarch/databricks-sdk-0.42.0-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/databricks-sdk-0.43.0-pyhd8ed1ab_0.conda
     hash:
-      md5: ab734df729200eabfb8b31e8c99e7ce9
-      sha256: 8c5c2326c401f5d64e851c7e6a40419f7d59ad145909e129f5a5cf1edc45fc82
+      md5: b56db2df08e71054541f172008a0ce50
+      sha256: 512c1b314c51017450c8baa56b112611106bbffe3e4e08b496e2ae09c50294c8
     category: main
     optional: false
   - name: datasette
@@ -4688,8 +4688,8 @@ package:
       asgi-csrf: ">=0.9"
       itsdangerous: ">=1.1"
       pluggy: ">=1.0"
-      hupper: ">=1.9"
       platformdirs: ">=2.1.0"
+      hupper: ">=1.9"
       uvicorn: ">=0.11"
       flexcache: ">=0.3"
       aiofiles: ">=0.4"
@@ -4720,8 +4720,8 @@ package:
       asgi-csrf: ">=0.9"
       itsdangerous: ">=1.1"
       pluggy: ">=1.0"
-      hupper: ">=1.9"
       platformdirs: ">=2.1.0"
+      hupper: ">=1.9"
       uvicorn: ">=0.11"
       flexcache: ">=0.3"
       aiofiles: ">=0.4"
@@ -4901,54 +4901,6 @@ package:
       sha256: 9717a059677553562a8f38ff07f3b9f61727bd614f505658b0a5ecbcf8df89be
     category: main
     optional: false
-  - name: deltalake
-    version: 0.24.0
-    manager: conda
-    platform: linux-64
-    dependencies:
-      __glibc: ">=2.17,<3.0.a0"
-      libgcc: ">=13"
-      liblzma: ">=5.6.3,<6.0a0"
-      pyarrow: ">=16"
-      pyarrow-hotfix: ""
-      python: ">=3.12,<3.13.0a0"
-      python_abi: 3.12.*
-    url: https://conda.anaconda.org/conda-forge/linux-64/deltalake-0.24.0-py312h07cb367_0.conda
-    hash:
-      md5: 8c0b7066e75926407bbb0307bc63e2b5
-      sha256: 7ab302d46564e707ecdaf09d06239cb46dcb1dedd55247885f68f551fd62ae05
-    category: main
-    optional: false
-  - name: deltalake
-    version: 0.24.0
-    manager: conda
-    platform: osx-64
-    dependencies:
-      pyarrow: ">=16"
-      pyarrow-hotfix: ""
-      python: ">=3.12,<3.13.0a0"
-      python_abi: 3.12.*
-    url: https://conda.anaconda.org/conda-forge/osx-64/deltalake-0.24.0-py312h16aec2d_0.conda
-    hash:
-      md5: 2cbeb7bb52d6f593c5e91721d052406b
-      sha256: 185fc067ace39a524e599619ef51ccbc1d3bb737ae4ed574059f2e911dc5524a
-    category: main
-    optional: false
-  - name: deltalake
-    version: 0.24.0
-    manager: conda
-    platform: osx-arm64
-    dependencies:
-      pyarrow: ">=16"
-      pyarrow-hotfix: ""
-      python: ">=3.12,<3.13.0a0"
-      python_abi: 3.12.*
-    url: https://conda.anaconda.org/conda-forge/osx-arm64/deltalake-0.24.0-py312h30a1e44_0.conda
-    hash:
-      md5: 449b7fd8a970fc53ff23249963f3949c
-      sha256: 38135afb692f17aaf14e026144bfaaa2ae0eee019678b66724439540d3452b8e
-    category: main
-    optional: false
   - name: deprecated
     version: 1.2.18
     manager: conda
@@ -7788,10 +7740,10 @@ package:
       libwebp-base: ">=1.5.0,<2.0a0"
       libzlib: ">=1.3.1,<2.0a0"
       pango: ">=1.56.1,<2.0a0"
-    url: https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.2.1-h618ab57_0.conda
+    url: https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.2.1-h5ae0cbf_1.conda
     hash:
-      md5: 65e5005b6c1e9d76164c9713de88f405
-      sha256: e8f85722edb298d4015aba160fb606713272a0770db7be755442f20606a94dfd
+      md5: df7835d2c73cd1889d377cfd6694ada4
+      sha256: e6866409ba03df392ac5ec6f0d6ff9751a685ed917bfbcd8a73f550c5fe83c2b
     category: dev
     optional: true
   - name: graphviz
@@ -7814,10 +7766,10 @@ package:
       libwebp-base: ">=1.5.0,<2.0a0"
       libzlib: ">=1.3.1,<2.0a0"
       pango: ">=1.56.1,<2.0a0"
-    url: https://conda.anaconda.org/conda-forge/osx-64/graphviz-12.2.1-h22ac8cf_0.conda
+    url: https://conda.anaconda.org/conda-forge/osx-64/graphviz-12.2.1-h44a0556_1.conda
     hash:
-      md5: addb0f319e20eff7b3415bd8e02ce641
-      sha256: 48566e839c9d03b6817fac0b66c2247042dbecaca1d58968882efa439c102cfe
+      md5: f1e519616cb1c137cff9849cfa1beb93
+      sha256: 3a8eef238000e8fcb8f4f31a035869d7b5ad0466f69c72e9064786b54d1812cc
     category: dev
     optional: true
   - name: graphviz
@@ -7840,10 +7792,10 @@ package:
       libwebp-base: ">=1.5.0,<2.0a0"
       libzlib: ">=1.3.1,<2.0a0"
       pango: ">=1.56.1,<2.0a0"
-    url: https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-12.2.1-hb6653a1_0.conda
+    url: https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-12.2.1-hff64154_1.conda
     hash:
-      md5: 20d322c337695b484e8bad8e69737579
-      sha256: 35c5a300f2f958727c0cbd9e9ca5d973e4539c02e80fff3e130ee0bf628e00a3
+      md5: b0b656550a16dfba7efa1479756c5b63
+      sha256: 54e3ce5668b17ea41fed515e57fbd9e805969df468eaf7ff65389d7f53b46d54
     category: dev
     optional: true
   - name: greenlet
@@ -16820,7 +16772,7 @@ package:
     category: dev
     optional: true
   - name: paramiko
-    version: 3.5.0
+    version: 3.5.1
     manager: conda
     platform: linux-64
     dependencies:
@@ -16828,14 +16780,14 @@ package:
       cryptography: ">=3.3"
       pynacl: ">=1.5"
       python: ">=3.9"
-    url: https://conda.anaconda.org/conda-forge/noarch/paramiko-3.5.0-pyhd8ed1ab_1.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/paramiko-3.5.1-pyhd8ed1ab_0.conda
     hash:
-      md5: 92e18207b16a4e4790cdcb4e0bcdad60
-      sha256: b5c2c348ec7ae4ac57422d3499fe611c05b63311d396713ba9125820bf305163
+      md5: 4e6bea7eee94bb9d8a599385215719f9
+      sha256: 1499e558d31536707fdd7d0b569dbe29ae6e3aa8f2fdce9ea6f3df3ce4c1aaf1
     category: main
     optional: false
   - name: paramiko
-    version: 3.5.0
+    version: 3.5.1
     manager: conda
     platform: osx-64
     dependencies:
@@ -16843,14 +16795,14 @@ package:
       cryptography: ">=3.3"
       bcrypt: ">=3.2"
       pynacl: ">=1.5"
-    url: https://conda.anaconda.org/conda-forge/noarch/paramiko-3.5.0-pyhd8ed1ab_1.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/paramiko-3.5.1-pyhd8ed1ab_0.conda
     hash:
-      md5: 92e18207b16a4e4790cdcb4e0bcdad60
-      sha256: b5c2c348ec7ae4ac57422d3499fe611c05b63311d396713ba9125820bf305163
+      md5: 4e6bea7eee94bb9d8a599385215719f9
+      sha256: 1499e558d31536707fdd7d0b569dbe29ae6e3aa8f2fdce9ea6f3df3ce4c1aaf1
     category: main
     optional: false
   - name: paramiko
-    version: 3.5.0
+    version: 3.5.1
     manager: conda
     platform: osx-arm64
     dependencies:
@@ -16858,10 +16810,10 @@ package:
       cryptography: ">=3.3"
       bcrypt: ">=3.2"
       pynacl: ">=1.5"
-    url: https://conda.anaconda.org/conda-forge/noarch/paramiko-3.5.0-pyhd8ed1ab_1.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/paramiko-3.5.1-pyhd8ed1ab_0.conda
     hash:
-      md5: 92e18207b16a4e4790cdcb4e0bcdad60
-      sha256: b5c2c348ec7ae4ac57422d3499fe611c05b63311d396713ba9125820bf305163
+      md5: 4e6bea7eee94bb9d8a599385215719f9
+      sha256: 1499e558d31536707fdd7d0b569dbe29ae6e3aa8f2fdce9ea6f3df3ce4c1aaf1
     category: main
     optional: false
   - name: parso
@@ -18232,45 +18184,6 @@ package:
       sha256: 063eb168a29d4ce6d9ed865e9e1ad3b6e141712189955a79e06b24ddc0cbbc9c
     category: main
     optional: false
-  - name: pyarrow-hotfix
-    version: "0.6"
-    manager: conda
-    platform: linux-64
-    dependencies:
-      pyarrow: ">=0.14"
-      python: ">=3.9"
-    url: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_1.conda
-    hash:
-      md5: 49c3b8c3b2578f35a7034f75f30d0041
-      sha256: 9ff4e520cff831d34adcf8d791f735972d804572f223ad21b9652ad0886968a6
-    category: main
-    optional: false
-  - name: pyarrow-hotfix
-    version: "0.6"
-    manager: conda
-    platform: osx-64
-    dependencies:
-      python: ">=3.9"
-      pyarrow: ">=0.14"
-    url: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_1.conda
-    hash:
-      md5: 49c3b8c3b2578f35a7034f75f30d0041
-      sha256: 9ff4e520cff831d34adcf8d791f735972d804572f223ad21b9652ad0886968a6
-    category: main
-    optional: false
-  - name: pyarrow-hotfix
-    version: "0.6"
-    manager: conda
-    platform: osx-arm64
-    dependencies:
-      python: ">=3.9"
-      pyarrow: ">=0.14"
-    url: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_1.conda
-    hash:
-      md5: 49c3b8c3b2578f35a7034f75f30d0041
-      sha256: 9ff4e520cff831d34adcf8d791f735972d804572f223ad21b9652ad0886968a6
-    category: main
-    optional: false
   - name: pyasn1
     version: 0.6.1
     manager: conda
@@ -24940,17 +24853,17 @@ package:
     category: dev
     optional: true
   - name: xorg-libx11
-    version: 1.8.10
+    version: 1.8.11
     manager: conda
     platform: linux-64
     dependencies:
       __glibc: ">=2.17,<3.0.a0"
       libgcc: ">=13"
       libxcb: ">=1.17.0,<2.0a0"
-    url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda
+    url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.11-h4f16b4b_0.conda
     hash:
-      md5: 125f34a17d7b4bea418a83904ea82ea6
-      sha256: f53994d54f0604df881c4e984279b3cf6a1648a22d4b2113e2c89829968784c9
+      md5: b6eb6d0cb323179af168df8fe16fb0a1
+      sha256: a0e7fca9e341dc2455b20cd320fc1655e011f7f5f28367ecf8617cccd4bb2821
     category: dev
     optional: true
   - name: xorg-libxau
diff --git a/environments/conda-osx-64.lock.yml b/environments/conda-osx-64.lock.yml
index 6b0692761..b8ae76f6f 100644
--- a/environments/conda-osx-64.lock.yml
+++ b/environments/conda-osx-64.lock.yml
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: osx-64
-# input_hash: 0e66c2c5134fd7dcc98c7ea75aa4c0a3b06f62bf45fbb2ede2f6c4252e8b4e3c
+# input_hash: 3ba3060f95f7cca7b0b57dcc26b27cf7362f666479bfecb76c998d5ed4b74e2f
 
 channels:
   - conda-forge
@@ -20,7 +20,7 @@ dependencies:
   - aom=3.9.1=hf036a51_0
   - appdirs=1.4.4=pyhd8ed1ab_1
   - appnope=0.1.4=pyhd8ed1ab_1
-  - arelle-release=2.36.7=pyhd8ed1ab_0
+  - arelle-release=2.36.9=pyhd8ed1ab_0
   - argon2-cffi=23.1.0=pyhd8ed1ab_1
   - argon2-cffi-bindings=21.2.0=py312hb553811_5
   - arrow=1.3.0=pyhd8ed1ab_1
@@ -54,13 +54,13 @@ dependencies:
   - backports=1.0=pyhd8ed1ab_5
   - backports.tarfile=1.2.0=pyhd8ed1ab_1
   - bcrypt=4.2.1=py312h0d0de52_0
-  - beautifulsoup4=4.13.0=pyha770c72_0
+  - beautifulsoup4=4.13.2=pyha770c72_0
   - bleach=6.2.0=pyh29332c3_4
   - bleach-with-css=6.2.0=h82add2a_4
   - blinker=1.9.0=pyhff2d567_0
   - blosc=1.21.6=hd145fbb_1
-  - boto3=1.36.11=pyhd8ed1ab_0
-  - botocore=1.36.11=pyge310_1234567_0
+  - boto3=1.36.12=pyhd8ed1ab_0
+  - botocore=1.36.12=pyge310_1234567_0
   - bottleneck=1.4.2=py312h59f7578_0
   - branca=0.8.1=pyhd8ed1ab_0
   - brotli=1.1.0=h00291cd_2
@@ -106,13 +106,12 @@ dependencies:
   - dagster-webserver=1.9.11=pyhc5d1ea7_0
   - dask-core=2025.1.0=pyhd8ed1ab_0
   - dask-expr=2.0.0=pyhd8ed1ab_0
-  - databricks-sdk=0.42.0=pyhd8ed1ab_0
+  - databricks-sdk=0.43.0=pyhd8ed1ab_0
   - datasette=0.65.1=pyhd8ed1ab_0
   - dav1d=1.2.1=h0dc2134_0
   - debugpy=1.8.12=py312haafddd8_0
   - decorator=5.1.1=pyhd8ed1ab_1
   - defusedxml=0.7.1=pyhd8ed1ab_0
-  - deltalake=0.24.0=py312h16aec2d_0
   - deprecated=1.2.18=pyhd8ed1ab_0
   - distlib=0.3.9=pyhd8ed1ab_1
   - dnspython=2.7.0=pyhff2d567_1
@@ -177,7 +176,7 @@ dependencies:
   - graphite2=1.3.13=h73e2aa4_1003
   - graphql-core=3.2.6=pyh29332c3_0
   - graphql-relay=3.2.0=pyhd8ed1ab_1
-  - graphviz=12.2.1=h22ac8cf_0
+  - graphviz=12.2.1=h44a0556_1
   - greenlet=3.1.1=py312haafddd8_1
   - grpcio=1.67.1=py312h145213c_1
   - grpcio-health-checking=1.67.1=pyhd8ed1ab_1
@@ -370,7 +369,7 @@ dependencies:
   - pandoc=3.6.2=h694c41f_0
   - pandocfilters=1.5.0=pyhd8ed1ab_0
   - pango=1.56.1=hf94f63b_0
-  - paramiko=3.5.0=pyhd8ed1ab_1
+  - paramiko=3.5.1=pyhd8ed1ab_0
   - parso=0.8.4=pyhd8ed1ab_1
   - partd=1.4.2=pyhd8ed1ab_0
   - pastel=0.2.1=pyhd8ed1ab_0
@@ -404,7 +403,6 @@ dependencies:
   - pure_eval=0.2.3=pyhd8ed1ab_1
   - pyarrow=18.1.0=py312hb401068_0
   - pyarrow-core=18.1.0=py312h5157fe3_0_cpu
-  - pyarrow-hotfix=0.6=pyhd8ed1ab_1
   - pyasn1=0.6.1=pyhd8ed1ab_2
   - pyasn1-modules=0.4.1=pyhd8ed1ab_1
   - pybtex=0.24.0=pyhd8ed1ab_3
diff --git a/environments/conda-osx-arm64.lock.yml b/environments/conda-osx-arm64.lock.yml
index d9f0a32e4..c1ae2bede 100644
--- a/environments/conda-osx-arm64.lock.yml
+++ b/environments/conda-osx-arm64.lock.yml
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: osx-arm64
-# input_hash: fedcc3f67e42150aed97e57c4e65edd4dfd8085c958ca43b4a841e6c2bc98245
+# input_hash: 73cdf399b1dae90c8f5b420504c02e42883d416d1790e0d8390943326d33eea8
 
 channels:
   - conda-forge
@@ -20,7 +20,7 @@ dependencies:
   - aom=3.9.1=h7bae524_0
   - appdirs=1.4.4=pyhd8ed1ab_1
   - appnope=0.1.4=pyhd8ed1ab_1
-  - arelle-release=2.36.7=pyhd8ed1ab_0
+  - arelle-release=2.36.9=pyhd8ed1ab_0
   - argon2-cffi=23.1.0=pyhd8ed1ab_1
   - argon2-cffi-bindings=21.2.0=py312h024a12e_5
   - arrow=1.3.0=pyhd8ed1ab_1
@@ -54,13 +54,13 @@ dependencies:
   - backports=1.0=pyhd8ed1ab_5
   - backports.tarfile=1.2.0=pyhd8ed1ab_1
   - bcrypt=4.2.1=py312hcd83bfe_0
-  - beautifulsoup4=4.13.0=pyha770c72_0
+  - beautifulsoup4=4.13.2=pyha770c72_0
   - bleach=6.2.0=pyh29332c3_4
   - bleach-with-css=6.2.0=h82add2a_4
   - blinker=1.9.0=pyhff2d567_0
   - blosc=1.21.6=h7dd00d9_1
-  - boto3=1.36.11=pyhd8ed1ab_0
-  - botocore=1.36.11=pyge310_1234567_0
+  - boto3=1.36.12=pyhd8ed1ab_0
+  - botocore=1.36.12=pyge310_1234567_0
   - bottleneck=1.4.2=py312h147345f_0
   - branca=0.8.1=pyhd8ed1ab_0
   - brotli=1.1.0=hd74edd7_2
@@ -106,13 +106,12 @@ dependencies:
   - dagster-webserver=1.9.11=pyhc5d1ea7_0
   - dask-core=2025.1.0=pyhd8ed1ab_0
   - dask-expr=2.0.0=pyhd8ed1ab_0
-  - databricks-sdk=0.42.0=pyhd8ed1ab_0
+  - databricks-sdk=0.43.0=pyhd8ed1ab_0
   - datasette=0.65.1=pyhd8ed1ab_0
   - dav1d=1.2.1=hb547adb_0
   - debugpy=1.8.12=py312hd8f9ff3_0
   - decorator=5.1.1=pyhd8ed1ab_1
   - defusedxml=0.7.1=pyhd8ed1ab_0
-  - deltalake=0.24.0=py312h30a1e44_0
   - deprecated=1.2.18=pyhd8ed1ab_0
   - distlib=0.3.9=pyhd8ed1ab_1
   - dnspython=2.7.0=pyhff2d567_1
@@ -177,7 +176,7 @@ dependencies:
   - graphite2=1.3.13=hebf3989_1003
   - graphql-core=3.2.6=pyh29332c3_0
   - graphql-relay=3.2.0=pyhd8ed1ab_1
-  - graphviz=12.2.1=hb6653a1_0
+  - graphviz=12.2.1=hff64154_1
   - greenlet=3.1.1=py312hd8f9ff3_1
   - grpcio=1.67.1=py312he4e58e5_1
   - grpcio-health-checking=1.67.1=pyhd8ed1ab_1
@@ -370,7 +369,7 @@ dependencies:
   - pandoc=3.6.2=hce30654_0
   - pandocfilters=1.5.0=pyhd8ed1ab_0
   - pango=1.56.1=h73f1e88_0
-  - paramiko=3.5.0=pyhd8ed1ab_1
+  - paramiko=3.5.1=pyhd8ed1ab_0
   - parso=0.8.4=pyhd8ed1ab_1
   - partd=1.4.2=pyhd8ed1ab_0
   - pastel=0.2.1=pyhd8ed1ab_0
@@ -404,7 +403,6 @@ dependencies:
   - pure_eval=0.2.3=pyhd8ed1ab_1
   - pyarrow=18.1.0=py312h1f38498_0
   - pyarrow-core=18.1.0=py312hc40f475_0_cpu
-  - pyarrow-hotfix=0.6=pyhd8ed1ab_1
   - pyasn1=0.6.1=pyhd8ed1ab_2
   - pyasn1-modules=0.4.1=pyhd8ed1ab_1
   - pybtex=0.24.0=pyhd8ed1ab_3
diff --git a/migrations/versions/1189596f92ed_add_sec10k_tables.py b/migrations/versions/1189596f92ed_add_sec10k_tables.py
new file mode 100644
index 000000000..aca027b37
--- /dev/null
+++ b/migrations/versions/1189596f92ed_add_sec10k_tables.py
@@ -0,0 +1,50 @@
+"""Add sec10k tables
+
+Revision ID: 1189596f92ed
+Revises: 1d963598bf21
+Create Date: 2025-02-04 16:06:16.870305
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = '1189596f92ed'
+down_revision = '1d963598bf21'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('core_sec10k__exhibit_21_company_ownership', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('subsidiary_company_location', sa.Text(), nullable=True, comment='Location of subsidiary company.'))
+        batch_op.drop_column('subsidiary_location')
+
+    with op.batch_alter_table('core_sec10k__filings', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('filing_date', sa.Date(), nullable=True, comment='Date filing was submitted.'))
+        batch_op.drop_column('date_filed')
+
+    with op.batch_alter_table('out_sec10k__parents_and_subsidiaries', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('name_change_date', sa.Date(), nullable=True, comment='Date of last name change of the company.'))
+        batch_op.drop_column('date_of_name_change')
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('out_sec10k__parents_and_subsidiaries', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('date_of_name_change', sa.DATE(), nullable=True))
+        batch_op.drop_column('name_change_date')
+
+    with op.batch_alter_table('core_sec10k__filings', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('date_filed', sa.DATE(), nullable=True))
+        batch_op.drop_column('filing_date')
+
+    with op.batch_alter_table('core_sec10k__exhibit_21_company_ownership', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('subsidiary_location', sa.TEXT(), nullable=True))
+        batch_op.drop_column('subsidiary_company_location')
+
+    # ### end Alembic commands ###
diff --git a/migrations/versions/1d963598bf21_.py b/migrations/versions/1d963598bf21_.py
new file mode 100644
index 000000000..ead143a88
--- /dev/null
+++ b/migrations/versions/1d963598bf21_.py
@@ -0,0 +1,24 @@
+"""empty message
+
+Revision ID: 1d963598bf21
+Revises: 3b65c445d4b4, 4d7466b7f5c1
+Create Date: 2025-02-04 15:47:02.383902
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = '1d963598bf21'
+down_revision = ('3b65c445d4b4', '4d7466b7f5c1')
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    pass
+
+
+def downgrade() -> None:
+    pass
diff --git a/migrations/versions/4d7466b7f5c1_add_sec10k_tables.py b/migrations/versions/4d7466b7f5c1_add_sec10k_tables.py
new file mode 100644
index 000000000..fd28abd16
--- /dev/null
+++ b/migrations/versions/4d7466b7f5c1_add_sec10k_tables.py
@@ -0,0 +1,80 @@
+"""Add sec10k tables
+
+Revision ID: 4d7466b7f5c1
+Revises: 450d100cd30b
+Create Date: 2025-02-04 15:34:53.060422
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = '4d7466b7f5c1'
+down_revision = '450d100cd30b'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('core_sec10k__company_information',
+    sa.Column('filename_sec10k', sa.Text(), nullable=False, comment='Name of filing as provided by SEC data portal.'),
+    sa.Column('filer_count', sa.Integer(), nullable=False, comment='Index company information as some filings contain information for multiple companies.'),
+    sa.Column('company_information_block', sa.Text(), nullable=False, comment='Title of block of data.'),
+    sa.Column('company_information_block_count', sa.Integer(), nullable=False, comment='Some blocks are repeated, this defines the index of the data block.'),
+    sa.Column('company_information_fact_name', sa.Text(), nullable=False, comment='Name of fact within a ``company_information_block``.'),
+    sa.Column('company_information_fact_value', sa.Text(), nullable=False, comment='Value corresponding with ``company_information_fact_name``.'),
+    sa.Column('report_date', sa.Date(), nullable=True, comment='Date reported.'),
+    sa.PrimaryKeyConstraint('filename_sec10k', 'filer_count', 'company_information_block', 'company_information_block_count', 'company_information_fact_name', 'company_information_fact_value', name=op.f('pk_core_sec10k__company_information'))
+    )
+    op.create_table('core_sec10k__exhibit_21_company_ownership',
+    sa.Column('filename_sec10k', sa.Text(), nullable=True, comment='Name of filing as provided by SEC data portal.'),
+    sa.Column('subsidiary_company_name', sa.Text(), nullable=True, comment='Name of subsidiary company.'),
+    sa.Column('subsidiary_location', sa.Text(), nullable=True, comment='Location of subsidiary company.'),
+    sa.Column('fraction_owned', sa.Float(), nullable=True, comment='Fraction of subsidiary company owned by parent.'),
+    sa.Column('report_date', sa.Date(), nullable=True, comment='Date reported.')
+    )
+    op.create_table('core_sec10k__filings',
+    sa.Column('filename_sec10k', sa.Text(), nullable=False, comment='Name of filing as provided by SEC data portal.'),
+    sa.Column('central_index_key', sa.Text(), nullable=True, comment='Identifier of the company in SEC database.'),
+    sa.Column('company_name', sa.Text(), nullable=True, comment='Name of company submitting SEC 10k filing.'),
+    sa.Column('sec10k_version', sa.Text(), nullable=True, comment='Specific version of SEC 10k filed.'),
+    sa.Column('date_filed', sa.Date(), nullable=True, comment='Date filing was submitted.'),
+    sa.Column('exhibit_21_version', sa.Text(), nullable=True, comment='Version of exhibit 21 submitted (if applicable).'),
+    sa.Column('report_date', sa.Date(), nullable=True, comment='Date reported.'),
+    sa.PrimaryKeyConstraint('filename_sec10k', name=op.f('pk_core_sec10k__filings'))
+    )
+    op.create_table('out_sec10k__parents_and_subsidiaries',
+    sa.Column('company_id_sec', sa.Text(), nullable=True, comment="Algorithmically assigned ID for companies that file SEC 10k's or are referenced in exhibit 21 attachments to 10k's. May not be stable over time."),
+    sa.Column('filename_sec10k', sa.Text(), nullable=True, comment='Name of filing as provided by SEC data portal.'),
+    sa.Column('report_date', sa.Date(), nullable=True, comment='Date reported.'),
+    sa.Column('central_index_key', sa.Text(), nullable=True, comment='Identifier of the company in SEC database.'),
+    sa.Column('utility_id_eia', sa.Integer(), nullable=True, comment='The EIA Utility Identification number.'),
+    sa.Column('street_address', sa.Text(), nullable=True, comment='Physical street address.'),
+    sa.Column('address_2', sa.Text(), nullable=True, comment='Second line of the address.'),
+    sa.Column('city', sa.Text(), nullable=True, comment='Name of the city.'),
+    sa.Column('state', sa.Text(), nullable=True, comment='Two letter US state abbreviation.'),
+    sa.Column('company_name_raw', sa.Text(), nullable=True, comment='Uncleaned name of company.'),
+    sa.Column('date_of_name_change', sa.Date(), nullable=True, comment='Date of last name change of the company.'),
+    sa.Column('company_name_former', sa.Text(), nullable=True, comment='Former name of company.'),
+    sa.Column('industry_description_sic', sa.Text(), nullable=True, comment='Text description of Standard Industrial Classification (SIC)'),
+    sa.Column('industry_id_sic', sa.Text(), nullable=True, comment="Four-digit Standard Industrial Classification (SIC) code identifying the company's primary industry. SIC codes have been replaced by NAICS codes in many applications, but are still used by the SEC."),
+    sa.Column('state_of_incorporation', sa.Text(), nullable=True, comment='Two letter state code where company is incorporated.'),
+    sa.Column('location_of_incorporation', sa.Text(), nullable=True, comment='Cleaned location of incorporation of the company.'),
+    sa.Column('company_id_irs', sa.Text(), nullable=True, comment='ID of the company with the IRS.'),
+    sa.Column('files_sec10k', sa.Boolean(), nullable=True, comment='Indicates whether the company files an SEC 10-K.'),
+    sa.Column('parent_company_central_index_key', sa.Text(), nullable=True, comment="Central index key (CIK) of the company's parent company."),
+    sa.Column('fraction_owned', sa.Float(), nullable=True, comment='Fraction of subsidiary company owned by parent.'),
+    sa.ForeignKeyConstraint(['utility_id_eia', 'report_date'], ['core_eia860__scd_utilities.utility_id_eia', 'core_eia860__scd_utilities.report_date'], name=op.f('fk_out_sec10k__parents_and_subsidiaries_utility_id_eia_core_eia860__scd_utilities'))
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table('out_sec10k__parents_and_subsidiaries')
+    op.drop_table('core_sec10k__filings')
+    op.drop_table('core_sec10k__exhibit_21_company_ownership')
+    op.drop_table('core_sec10k__company_information')
+    # ### end Alembic commands ###
diff --git a/migrations/versions/ac67e04d1383_use_sec10k_column_suffix.py b/migrations/versions/ac67e04d1383_use_sec10k_column_suffix.py
new file mode 100644
index 000000000..7a8ddf9e9
--- /dev/null
+++ b/migrations/versions/ac67e04d1383_use_sec10k_column_suffix.py
@@ -0,0 +1,34 @@
+"""use sec10k column suffix
+
+Revision ID: ac67e04d1383
+Revises: 1189596f92ed
+Create Date: 2025-02-04 16:52:10.950619
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = 'ac67e04d1383'
+down_revision = '1189596f92ed'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('out_sec10k__parents_and_subsidiaries', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('company_id_sec10k', sa.Text(), nullable=True, comment='PUDL-assigned ID for companies that file SEC Form 10-K or are referenced in exhibit 21 attachments to Form 10-K. May not be stable over time.'))
+        batch_op.drop_column('company_id_sec')
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('out_sec10k__parents_and_subsidiaries', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('company_id_sec', sa.TEXT(), nullable=True))
+        batch_op.drop_column('company_id_sec10k')
+
+    # ### end Alembic commands ###
diff --git a/pyproject.toml b/pyproject.toml
index 04d892224..b865ee753 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,7 +27,6 @@ dependencies = [
     "dask>=2025",
     "dask-expr>=2", # Required for dask[dataframe]
     "datasette>=0.65",
-    "deltalake>=0.24,<1",
     "doc8>=1.1",
     "duckdb>=1.1.3",
     "email-validator>=1.0.3", # pydantic[email]
diff --git a/src/pudl/analysis/__init__.py b/src/pudl/analysis/__init__.py
index c1dcf9840..f8e7cdd82 100644
--- a/src/pudl/analysis/__init__.py
+++ b/src/pudl/analysis/__init__.py
@@ -12,6 +12,7 @@
     fuel_by_plant,
     mcoe,
     plant_parts_eia,
+    pudl_models,
     record_linkage,
     service_territory,
     spatial,
diff --git a/src/pudl/analysis/pudl_models.py b/src/pudl/analysis/pudl_models.py
index 117fcc5d3..314af1124 100644
--- a/src/pudl/analysis/pudl_models.py
+++ b/src/pudl/analysis/pudl_models.py
@@ -1,55 +1,124 @@
 """Implement utilities for working with data produced in the pudl modelling repo."""
 
-import os
-
 import pandas as pd
-import pyarrow as pa
-from dagster import AssetsDefinition, asset
-from deltalake import DeltaTable
-
-
-def get_model_tables() -> list[str]:
-    """Return all tables produced by PUDL models or empty list if env variable not set."""
-    pudl_models_tables = []
-    if os.getenv("USE_PUDL_MODELS"):
-        pudl_models_tables = [
-            "core_sec10k__company_information",
-            "core_sec10k__exhibit_21_company_ownership",
-            "core_sec10k__filings",
-            "out_sec10k__parents_and_subsidiaries",
-        ]
+from dagster import asset
+
+
+def _load_table_from_gcs(table_name: str) -> pd.DataFrame:
+    return pd.read_parquet(f"gs://model-outputs.catalyst.coop/sec10k/{table_name}")
+
+
+def _compute_fraction_owned(percent_ownership: pd.Series) -> pd.Series:
+    """Clean percent ownership, convert to float, then convert percent to ratio."""
+    return (
+        percent_ownership.str.replace(r"(\.{2,})", r"\.", regex=True)
+        .replace("\\\\", "", regex=True)
+        .replace(".", "0.0", regex=False)
+        .astype("float")
+    ) / 100.0
+
+
+def _year_quarter_to_date(year_quarter: pd.Series) -> pd.Series:
+    """Convert a year quarter in the format '2024q1' to date type."""
+    return pd.PeriodIndex(year_quarter, freq="Q").to_timestamp()
+
+
+@asset(
+    io_manager_key="pudl_io_manager",
+    group_name="pudl_models",
+)
+def core_sec10k__company_information() -> pd.DataFrame:
+    """Basic company information extracted from SEC10k filings."""
+    df = _load_table_from_gcs("core_sec10k__company_information")
+    df = df.rename(
+        columns={
+            "sec10k_filename": "filename_sec10k",
+            "block": "company_information_block",
+            "block_count": "company_information_block_count",
+            "key": "company_information_fact_name",
+            "value": "company_information_fact_value",
+        }
+    )
 
-    return pudl_models_tables
+    # Get date from year quarters
+    df["report_date"] = _year_quarter_to_date(df.year_quarter)
+
+    return df
+
+
+@asset(
+    io_manager_key="pudl_io_manager",
+    group_name="pudl_models",
+)
+def core_sec10k__exhibit_21_company_ownership() -> pd.DataFrame:
+    """Company ownership information extracted from sec10k exhibit 21 attachments."""
+    df = _load_table_from_gcs("core_sec10k__exhibit_21_company_ownership")
+    df = df.rename(
+        columns={
+            "sec10k_filename": "filename_sec10k",
+            "subsidiary": "subsidiary_company_name",
+            "location": "subsidiary_company_location",
+        }
+    )
 
+    # Convert ownership percentage
+    df["fraction_owned"] = _compute_fraction_owned(df.ownership_percentage)
 
-def _get_table_uri(table_name: str) -> str:
-    return f"gs://model-outputs.catalyst.coop/sec10k/{table_name}"
+    # Get date from year quarters
+    df["report_date"] = _year_quarter_to_date(df.year_quarter)
 
+    return df
 
-def pudl_models_asset_factory(table_name: str) -> AssetsDefinition:
-    """Factory function to create assets which will load pudl models tables."""
 
-    @asset(
-        name=table_name,
-        io_manager_key="parquet_io_manager",
-        group_name="pudl_models",
+@asset(
+    io_manager_key="pudl_io_manager",
+    group_name="pudl_models",
+)
+def core_sec10k__filings() -> pd.DataFrame:
+    """Metadata on all 10k filings submitted to SEC."""
+    df = _load_table_from_gcs("core_sec10k__filings")
+    df = df.rename(
+        columns={
+            "sec10k_filename": "filename_sec10k",
+            "form_type": "sec10k_version",
+            "date_filed": "filing_date",
+        }
     )
-    def _asset() -> pd.DataFrame:
-        return DeltaTable(_get_table_uri(table_name)).to_pandas()
-
-    return _asset
 
+    # Get date from year quarters
+    df["report_date"] = _year_quarter_to_date(df.year_quarter)
+
+    return df
+
+
+@asset(
+    io_manager_key="pudl_io_manager",
+    group_name="pudl_models",
+)
+def out_sec10k__parents_and_subsidiaries() -> pd.DataFrame:
+    """Denormalized output table with sec10k info and company ownership linked to EIA."""
+    df = _load_table_from_gcs("out_sec10k__parents_and_subsidiaries")
+    df = df.rename(
+        columns={
+            "sec10k_filename": "filename_sec10k",
+            "sec_company_id": "company_id_sec10k",
+            "street_address_2": "address_2",
+            "former_conformed_name": "company_name_former",
+            "location_of_inc": "location_of_incorporation",
+            "irs_number": "company_id_irs",
+            "parent_company_cik": "parent_company_central_index_key",
+            "files_10k": "files_sec10k",
+            "date_of_name_change": "name_change_date",
+        }
+    )
 
-def get_pudl_models_assets() -> list[AssetsDefinition]:
-    """Generate a collection of assets for all PUDL model tables."""
-    return [pudl_models_asset_factory(table) for table in get_model_tables()]
-
+    # Convert ownership percentage
+    df["fraction_owned"] = _compute_fraction_owned(df.ownership_percentage)
 
-def get_model_table_schemas() -> list[str, str, pa.Schema]:
-    """Return pyarrow schemas for all PUDL models tables."""
-    dts = [DeltaTable(_get_table_uri(table_name)) for table_name in get_model_tables()]
+    # Split standard industrial classification into ID and description columns
+    df[["industry_description_sic", "industry_id_sic"]] = df[
+        "standard_industrial_classification"
+    ].str.extract(r"(.+)\[(\d{4})\]")
+    df["industry_id_sic"] = df["industry_id_sic"].astype("string")
 
-    return [
-        (dt.metadata().name, dt.metadata().description, dt.schema().to_pyarrow())
-        for dt in dts
-    ]
+    return df
diff --git a/src/pudl/etl/__init__.py b/src/pudl/etl/__init__.py
index 4b230b77d..aec2aed26 100644
--- a/src/pudl/etl/__init__.py
+++ b/src/pudl/etl/__init__.py
@@ -2,6 +2,7 @@
 
 import importlib.resources
 import itertools
+import os
 import warnings
 
 import pandera as pr
@@ -21,7 +22,6 @@
 from dagster._core.definitions.cacheable_assets import CacheableAssetsDefinition
 
 import pudl
-from pudl.analysis.pudl_models import get_pudl_models_assets
 from pudl.io_managers import (
     epacems_io_manager,
     ferc1_dbf_sqlite_io_manager,
@@ -108,19 +108,19 @@
 }
 
 all_asset_modules = raw_module_groups | core_module_groups | out_module_groups
-default_assets = (
-    list(
-        itertools.chain.from_iterable(
-            load_assets_from_modules(
-                modules,
-                group_name=group_name,
-            )
-            for group_name, modules in all_asset_modules.items()
+default_assets = list(
+    itertools.chain.from_iterable(
+        load_assets_from_modules(
+            modules,
+            group_name=group_name,
         )
+        for group_name, modules in all_asset_modules.items()
     )
-    + get_pudl_models_assets()
 )
 
+if os.getenv("USE_PUDL_MODELS"):
+    default_assets += load_assets_from_modules([pudl.analysis.pudl_models])
+
 default_asset_checks = list(
     itertools.chain.from_iterable(
         load_asset_checks_from_modules(
diff --git a/src/pudl/io_managers.py b/src/pudl/io_managers.py
index 266ff747b..3ffca3fe2 100644
--- a/src/pudl/io_managers.py
+++ b/src/pudl/io_managers.py
@@ -25,7 +25,6 @@
 from upath import UPath
 
 import pudl
-from pudl.analysis.pudl_models import get_model_tables
 from pudl.metadata.classes import PUDL_PACKAGE, Package, Resource
 from pudl.workspace.setup import PudlPaths
 
@@ -322,22 +321,13 @@ def load_input(self, context: InputContext) -> pd.DataFrame:
 class PudlParquetIOManager(IOManager):
     """IOManager that writes pudl tables to pyarrow parquet files."""
 
-    def _get_table_resource(self, table_name: str) -> Resource:
-        """Return resource class for table."""
-        if table_name not in get_model_tables():
-            res = Resource.from_id(table_name)
-        else:
-            # For tables coming from PUDL modelling repo just use already parsed resource metadata
-            [res] = [r for r in PUDL_PACKAGE.resources if r.name == table_name]
-        return res
-
     def handle_output(self, context: OutputContext, df: Any) -> None:
         """Writes pudl dataframe to parquet file."""
         assert isinstance(df, pd.DataFrame), "Only panda dataframes are supported."
         table_name = get_table_name_from_context(context)
         parquet_path = PudlPaths().parquet_path(table_name)
         parquet_path.parent.mkdir(parents=True, exist_ok=True)
-        res = self._get_table_resource(table_name)
+        res = Resource.from_id(table_name)
 
         df = res.enforce_schema(df)
         schema = res.to_pyarrow()
@@ -355,7 +345,7 @@ def load_input(self, context: InputContext) -> pd.DataFrame:
         """Loads pudl table from parquet file."""
         table_name = get_table_name_from_context(context)
         parquet_path = PudlPaths().parquet_path(table_name)
-        res = self._get_table_resource(table_name)
+        res = Resource.from_id(table_name)
         df = pq.read_table(source=parquet_path, schema=res.to_pyarrow()).to_pandas()
         return res.enforce_schema(df)
 
diff --git a/src/pudl/metadata/classes.py b/src/pudl/metadata/classes.py
index 62ec0b214..2c06243a8 100644
--- a/src/pudl/metadata/classes.py
+++ b/src/pudl/metadata/classes.py
@@ -36,7 +36,6 @@
 )
 
 import pudl.logging_helpers
-from pudl.analysis.pudl_models import get_model_table_schemas
 from pudl.metadata.codes import CODE_METADATA
 from pudl.metadata.constants import (
     CONSTRAINT_DTYPES,
@@ -573,24 +572,6 @@ class Field(PudlMeta):
     harvest: FieldHarvest = FieldHarvest()
     encoder: Encoder | None = None
 
-    @classmethod
-    def from_pyarrow_field(cls, field: pa.Field) -> "Field":
-        """Construct from pyarrow field."""
-        # Reverse map from frictionless -> pyarrow to pyarrow -> frictionless
-        type_map = {
-            value: key for value, key in FIELD_DTYPES_PYARROW.items() if key != "year"
-        } | {
-            pa.bool8(): "boolean",
-            pa.int32(): "integer",
-            pa.int64(): "integer",
-            pa.date32(): "date",
-        }
-        return cls(
-            name=field.name,
-            type=type_map[field.type],
-            description=field.metadata[b"description"].decode(),
-        )
-
     @field_validator("constraints")
     @classmethod
     def _check_constraints(cls, value, info: ValidationInfo):  # noqa: C901
@@ -812,15 +793,6 @@ class Schema(PudlMeta):
         "missing_values", "primary_key", "foreign_keys", fn=_check_unique
     )
 
-    @classmethod
-    def from_pyarrow_schema(cls, schema: pa.Schema) -> "Schema":
-        """Construct from a pyarrow schema."""
-        return cls(
-            fields=[
-                Field.from_pyarrow_field(schema.field(name)) for name in schema.names
-            ]
-        )
-
     @field_validator("fields")
     @classmethod
     def _check_field_names_unique(cls, fields: list[Field]):
@@ -1314,6 +1286,7 @@ class Resource(PudlMeta):
             "pudl",
             "nrelatb",
             "vcerare",
+            "sec10k",
         ]
         | None
     ) = None
@@ -1342,6 +1315,7 @@ class Resource(PudlMeta):
             "service_territories",
             "nrelatb",
             "vcerare",
+            "pudl_models",
         ]
         | None
     ) = None
@@ -1477,18 +1451,6 @@ def from_id(cls, x: str) -> "Resource":
         """Construct from PUDL identifier (`resource.name`)."""
         return cls(**cls.dict_from_id(x))
 
-    @classmethod
-    def from_pyarrow_schema(
-        cls, name: str, description: str, schema: pa.Schema
-    ) -> "Resource":
-        """Construct from a pyarrow schema."""
-        return cls(
-            name=name,
-            description=description,
-            schema=Schema.from_pyarrow_schema(schema),
-            create_database_schema=False,
-        )
-
     def get_field(self, name: str) -> Field:
         """Return field with the given name if it's part of the Resources."""
         names = [field.name for field in self.schema.fields]
@@ -2015,12 +1977,6 @@ def from_resource_ids(
                 if len(names) > i:
                     resources += [Resource.dict_from_id(x) for x in names[i:]]
 
-        resources += [
-            Resource.from_pyarrow_schema(name, description, schema).model_dump(
-                by_alias=True
-            )
-            for name, description, schema in get_model_table_schemas()
-        ]
         if excluded_etl_groups:
             resources = [
                 resource
diff --git a/src/pudl/metadata/fields.py b/src/pudl/metadata/fields.py
index 7547cc810..436990a4c 100644
--- a/src/pudl/metadata/fields.py
+++ b/src/pudl/metadata/fields.py
@@ -675,6 +675,10 @@
         "type": "boolean",
         "description": "Indicates whether the generator uses carbon capture technology.",
     },
+    "central_index_key": {
+        "type": "string",
+        "description": "Identifier of the company in SEC database.",
+    },
     "chlorine_equipment_cost": {
         "description": (
             "Actual installed cost for the existing chlorine discharge "
@@ -778,6 +782,41 @@
         "description": "Average monthly coincident peak (CP) demand (for requirements purchases, and any transactions involving demand charges). Monthly CP demand is the metered demand during the hour (60-minute integration) in which the supplier's system reaches its monthly peak. In megawatts.",
         "unit": "MW",
     },
+    "company_id_sec10k": {
+        "type": "string",
+        "description": (
+            "PUDL-assigned ID for companies that file SEC Form 10-K or are referenced "
+            "in exhibit 21 attachments to Form 10-K. May not be stable over time."
+        ),
+    },
+    "company_information_block": {
+        "type": "string",
+        "description": "Title of block of data.",
+    },
+    "company_information_block_count": {
+        "type": "integer",
+        "description": "Some blocks are repeated, this defines the index of the data block.",
+    },
+    "company_information_fact_name": {
+        "type": "string",
+        "description": "Name of fact within a ``company_information_block``.",
+    },
+    "company_information_fact_value": {
+        "type": "string",
+        "description": "Value corresponding with ``company_information_fact_name``.",
+    },
+    "company_name": {
+        "type": "string",
+        "description": "Name of company submitting SEC 10k filing.",
+    },
+    "company_name_former": {
+        "type": "string",
+        "description": "Former name of company.",
+    },
+    "company_name_raw": {
+        "type": "string",
+        "description": "Uncleaned name of company.",
+    },
     "compliance_year_nox": {
         "type": "integer",
         "description": "Year boiler was or is expected to be in compliance with federal, state and/or local regulations for nitrogen oxide emissions.",
@@ -1537,6 +1576,10 @@
         ),
         "unit": "MWh",
     },
+    "exhibit_21_version": {
+        "type": "string",
+        "description": "Version of exhibit 21 submitted (if applicable).",
+    },
     "expense_type": {"type": "string", "description": "The type of expense."},
     "ferc1_generator_agg_id": {
         "type": "integer",
@@ -1667,6 +1710,22 @@
         "type": "number",
         "description": "Total number of flue gas desulfurization unit scrubber trains.",
     },
+    "filer_count": {
+        "type": "integer",
+        "description": "Index company information as some filings contain information for multiple companies.",
+    },
+    "filename_sec10k": {
+        "type": "string",
+        "description": "Name of filing as provided by SEC data portal.",
+    },
+    "files_sec10k": {
+        "type": "boolean",
+        "description": "Indicates whether the company files an SEC 10-K.",
+    },
+    "filing_date": {
+        "type": "date",
+        "description": "Date filing was submitted.",
+    },
     "firing_rate_using_coal_tons_per_hour": {
         "type": "number",
         "unit": "tons_per_hour",
@@ -2365,6 +2424,22 @@
         ),
         "unit": "MW",
     },
+    "industry_description_sic": {
+        "type": "string",
+        "description": "Text description of Standard Industrial Classification (SIC)",
+    },
+    "industry_id_sic": {
+        "type": "string",
+        "description": (
+            "Four-digit Standard Industrial Classification (SIC) code identifying "
+            "the company's primary industry. SIC codes have been replaced by NAICS "
+            "codes in many applications, but are still used by the SEC. See e.g. "
+            "https://www.osha.gov/data/sic-manual for code definitions."
+        ),
+        "constraints": {
+            "pattern": r"^\d{4}$",
+        },
+    },
     "installation_year": {
         "type": "integer",
         "description": "Year the plant's most recently built unit was installed.",
@@ -2409,6 +2484,10 @@
         "description": "Original reported energy interchange between adjacent balancing authorities.",
         "unit": "MWh",
     },
+    "company_id_irs": {
+        "type": "string",
+        "description": "ID of the company with the IRS.",
+    },
     "is_epacems_state": {
         "type": "boolean",
         "description": (
@@ -2536,6 +2615,10 @@
         ),
         "unit": "MW",
     },
+    "location_of_incorporation": {
+        "type": "string",
+        "description": "Cleaned location of incorporation of the company.",
+    },
     "longitude": {
         "type": "number",
         "description": "Longitude of the plant's location, in degrees.",
@@ -2778,6 +2861,10 @@
         "type": "boolean",
         "description": "Whether the generator can burn multiple fuels.",
     },
+    "name_change_date": {
+        "type": "date",
+        "description": "Date of last name change of the company.",
+    },
     "nameplate_power_factor": {
         "type": "number",
         "description": "The nameplate power factor of the generator.",
@@ -3407,6 +3494,10 @@
         "type": "boolean",
         "description": "Whether a plant part record has a duplicate record with different ownership status.",
     },
+    "parent_company_central_index_key": {
+        "type": "string",
+        "description": "Central index key (CIK) of the company's parent company.",
+    },
     "particulate_control_id_eia": {
         "type": "string",
         "description": "Particulate matter control identification number. This ID is not a unique identifier.",
@@ -4026,6 +4117,10 @@
         "description": "Estimated electricity demand scaled by the total sales within a state.",
         "unit": "MWh",
     },
+    "sec10k_version": {
+        "type": "string",
+        "description": "Specific version of SEC 10k filed.",
+    },
     "secondary_transportation_mode_code": {
         "type": "string",
         "description": "Transportation mode for the second longest distance transported.",
@@ -4371,6 +4466,10 @@
             "pattern": r"^\d{2}$",
         },
     },
+    "state_of_incorporation": {
+        "type": "string",
+        "description": "Two letter state code where company is incorporated.",
+    },
     "steam_load_1000_lbs": {
         "type": "number",
         "description": "Total steam pressure produced by a unit during the reported hour.",
@@ -4442,6 +4541,14 @@
         "type": "integer",
         "description": "Sub-plant ID links EPA CEMS emissions units to EIA units.",
     },
+    "subsidiary_company_name": {
+        "type": "string",
+        "description": "Name of subsidiary company.",
+    },
+    "subsidiary_company_location": {
+        "type": "string",
+        "description": "Location of subsidiary company.",
+    },
     "sulfur_content_pct": {
         "type": "number",
         "description": "Sulfur content percentage by weight to the nearest 0.01 percent.",
@@ -5542,6 +5649,16 @@
 """
 
 FIELD_METADATA_BY_RESOURCE: dict[str, dict[str, Any]] = {
+    "core_sec10k__exhibit_21_company_ownership": {
+        "fraction_owned": {
+            "description": "Fraction of subsidiary company owned by parent.",
+        }
+    },
+    "out_sec10k__parents_and_subsidiaries": {
+        "fraction_owned": {
+            "description": "Fraction of subsidiary company owned by parent.",
+        }
+    },
     "sector_consolidated_eia": {"code": {"type": "integer"}},
     "core_ferc1__yearly_hydroelectric_plants_sched406": {
         "plant_type": {
diff --git a/src/pudl/metadata/resources/eia923.py b/src/pudl/metadata/resources/eia923.py
index aef25fb0a..ecdc3fb30 100644
--- a/src/pudl/metadata/resources/eia923.py
+++ b/src/pudl/metadata/resources/eia923.py
@@ -480,7 +480,10 @@
         "etl_group": "outputs",
     },
     "out_eia923__monthly_generation": {
-        "description": TABLE_DESCRIPTIONS["core_eia923__monthly_generation"],
+        "description": TABLE_DESCRIPTIONS["core_eia923__monthly_generation"]
+        + "\n\nThis table exists for naming consistency. While it is technically "
+        "aggregated by month, it ends up being identical to the "
+        "``out_eia923__generation`` table from which it is derived.",
         "schema": {
             "fields": [
                 "report_date",
diff --git a/src/pudl/metadata/resources/sec10k.py b/src/pudl/metadata/resources/sec10k.py
new file mode 100644
index 000000000..277b930d0
--- /dev/null
+++ b/src/pudl/metadata/resources/sec10k.py
@@ -0,0 +1,96 @@
+"""Table definitions for the SEC10k tables."""
+
+from typing import Any
+
+RESOURCE_METADATA: dict[str, dict[str, Any]] = {
+    "core_sec10k__filings": {
+        "description": "Metadata describing all submitted SEC 10k filings.",
+        "schema": {
+            "fields": [
+                "filename_sec10k",
+                "central_index_key",
+                "company_name",
+                "sec10k_version",
+                "filing_date",
+                "exhibit_21_version",
+                "report_date",
+            ],
+            "primary_key": [
+                "filename_sec10k",
+            ],
+        },
+        "sources": ["sec10k"],
+        "etl_group": "pudl_models",
+        "field_namespace": "sec10k",
+    },
+    "core_sec10k__exhibit_21_company_ownership": {
+        "description": "Company ownership data extracted from Exhibit 21 attachments to SEC 10k filings.",
+        "schema": {
+            "fields": [
+                "filename_sec10k",
+                "subsidiary_company_name",
+                "subsidiary_company_location",
+                "fraction_owned",
+                "report_date",
+            ],
+        },
+        "sources": ["sec10k"],
+        "etl_group": "pudl_models",
+        "field_namespace": "sec10k",
+    },
+    "core_sec10k__company_information": {
+        "description": "Company information extracted from SEC 10k filings.",
+        "schema": {
+            "fields": [
+                "filename_sec10k",
+                "filer_count",
+                "company_information_block",
+                "company_information_block_count",
+                "company_information_fact_name",
+                "company_information_fact_value",
+                "report_date",
+            ],
+            "primary_key": [
+                "filename_sec10k",
+                "filer_count",
+                "company_information_block",
+                "company_information_block_count",
+                "company_information_fact_name",
+                "company_information_fact_value",
+            ],
+        },
+        "sources": ["sec10k"],
+        "etl_group": "pudl_models",
+        "field_namespace": "sec10k",
+    },
+    "out_sec10k__parents_and_subsidiaries": {
+        "description": "Denormalized table containing SEC 10k company information with mapping between subsidiary and parent companies, as well as a linkage to EIA companies.",
+        "schema": {
+            "fields": [
+                "company_id_sec10k",
+                "filename_sec10k",
+                "report_date",
+                "central_index_key",
+                "utility_id_eia",
+                "street_address",
+                "address_2",
+                "city",
+                "state",
+                "company_name_raw",
+                "name_change_date",
+                "company_name_former",
+                "industry_description_sic",
+                "industry_id_sic",
+                "state_of_incorporation",
+                "location_of_incorporation",
+                "company_id_irs",
+                "files_sec10k",
+                "parent_company_central_index_key",
+                "fraction_owned",
+            ],
+        },
+        "sources": ["sec10k"],
+        "etl_group": "pudl_models",
+        "field_namespace": "sec10k",
+    },
+}