From cbd72b3712cb9af43c372c0f38a661e23ed03609 Mon Sep 17 00:00:00 2001 From: Raghu Raman Bhattathirippad Date: Sun, 16 Feb 2025 16:45:17 +0530 Subject: [PATCH] Added Apache Spark and Databricks course with landing page --- courses/spark-databricks.html | 176 ++++++++++++++++++++++++++++++++++ index.html | 12 +++ styles.css | 7 ++ 3 files changed, 195 insertions(+) create mode 100644 courses/spark-databricks.html diff --git a/courses/spark-databricks.html b/courses/spark-databricks.html new file mode 100644 index 0000000..e990580 --- /dev/null +++ b/courses/spark-databricks.html @@ -0,0 +1,176 @@ + + + + + + Apache Spark and Databricks for Beginners - ITVersity + + + + +
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Apache Spark and Databricks for Beginners

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Learn big data processing with Apache Spark and master the Databricks platform

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Course Overview

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What You'll Learn

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  • Apache Spark architecture and components
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  • Databricks workspace and notebooks
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  • Data processing with Spark SQL
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  • Spark DataFrames and Datasets
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  • Machine learning with MLlib
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  • Stream processing fundamentals
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  • Delta Lake for reliable data lakes
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  • Performance optimization and monitoring
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Course Features

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Duration

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10 Weeks

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Format

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Live Online Classes

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Certificate

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Industry Recognized

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Batch Size

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Maximum 15 Students

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Curriculum

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Week 1-2: Foundations

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  • Introduction to Big Data and Spark
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  • Spark architecture and components
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  • Setting up Databricks workspace
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  • Working with Databricks notebooks
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Week 3-4: Data Processing

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  • Spark SQL and DataFrames
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  • Data transformation and aggregation
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  • Working with different data formats
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  • Performance optimization techniques
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Week 5-7: Advanced Features

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  • Machine learning with MLlib
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  • Stream processing basics
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  • Delta Lake fundamentals
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  • Data quality and testing
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Week 8-10: Production & Projects

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  • Production deployment patterns
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  • Monitoring and optimization
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  • Best practices and patterns
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  • Capstone project
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Industry Projects

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+ Data Analysis Project + +

Data Analysis Pipeline

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Build an end-to-end data analysis pipeline using Spark

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+ ML Project + +

ML Model Deployment

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Deploy machine learning models using MLlib

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+ Streaming Project + +

Real-time Analytics

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Build a real-time analytics dashboard

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Data Engineering Essentials

View Course Details +
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Apache Spark and Databricks for Beginners

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Master big data processing with Apache Spark and Databricks platform

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Contact Us

+ diff --git a/styles.css b/styles.css index 2e3d5b8..46cb3ae 100644 --- a/styles.css +++ b/styles.css @@ -417,6 +417,13 @@ footer { url('https://images.unsplash.com/photo-1518186285589-2f7649de83e0?ixlib=rb-1.2.1&auto=format&fit=crop&w=2000&q=80'); } +.spark-hero { + background: linear-gradient(rgba(44, 62, 80, 0.8), rgba(44, 62, 80, 0.9)), + url('https://images.unsplash.com/photo-1558494949-ef010cbdcc31?ixlib=rb-1.2.1&auto=format&fit=crop&w=2000&q=80'); + background-size: cover; + background-position: center; +} + /* Location Images */ .location-image { width: 100%;