Wrapping up
1. Wrapping up
You've reached the end of the course, well done!2. Chapter 1
In Chapter 1, you explored the Databricks notebook environment. You loaded CSV data into DataFrames, inspected their structure, and shaped data using both PySpark and Spark SQL.3. Chapter 2
In Chapter 2, you built a cleaning pipeline to handle nulls, duplicates, and invalid records. You then aggregated data and joined tables efficiently using broadcast optimization.4. Chapter 3
In Chapter 3, you calculated running totals with window functions, set up streaming queries with checkpoints, and deployed production pipelines using Databricks Jobs and Lakeflow.5. Practice in a live Databricks workspace
Every exercise ran in a live Databricks workspace using transactional and online retail data, so the skills you practiced here translate directly to real-world projects.6. Congratulations!
Congratulations on completing Data Transformation with Spark SQL in Databricks!Create Your Free Account
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