Ilijason, Robert
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description
9
1. Introduction to Large-Scale Data Analytics
2. Spark and Databricks
3. Getting started with Databricks
4. Workspaces, Clusters, and Notebooks
5. Getting data into Databricks
6. Querying Data Using SQL
7. The power of Python
8. ETL and Advanced Data Wrangling
9. Connecting to and from Afar
10. Running in Production
11. Bits and Pieces
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