Workshop Attendees will be provided with a Login. Please enter your details below for reference throughout these lab exercises.
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Lab Group #: ________________ (this will be your breakout room number)
- You will use this to replace the "#" within the lab exercises with the number you enter here
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URL: _____________________________________
- Use Incognito Browser window
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Login:
- User: _____________________________________
- Password: _____________________________________
In the labs when you see:
- ${user_id} or <user_id> - this will indicate to use your User (Workload User) provided for you to login to CDP
- ${bucket} - this will indicate to use the bucket provided to you
In this Lab you will login to CDP and complete your user setup.
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Log in to CDP - open a browser and open the URL from the Lab Setup section
- When prompted use the Login details from the Lab Setup section for the User/PW
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On the HOME page of CDP you will see all of the Services available to you
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Multi-function analytics - Data Services; today we'll just focus on the Cloudera Data Warehouse Data Service
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There are other Data Services that usually are part of an Analytic use case
- Data Flow - for data ingestion needs
- Data Engineering - for ELT/ETL, transformations, data wrangling, etc.
- Machine Learning - for Data Science teams to collaboratively build and productionalize ML/AI applications and models for the Enterprise
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However, Cloudera provides other services such as Data Catalog, Replication Manager, Workload Manager, and Management Console provide continuity and functionality throughout the platform.
Note: The platform removes the necessity to spend unnecessarily on integration tax, where other solutions combine various pieces together in the ability to provide continuity and functionality throughout an end-to-end use case but this is difficult because it introduces many moving parts.