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Data Transformation with Spark SQL in Databricks
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Prerequisites
Introduction to Databricks SQLIntroduction to PySparkLoading and Shaping Data
Data Cleaning and Optimization
Analytics and Production Pipelines
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FAQs
What will I learn in this course?
You will learn to process and transform large datasets with Spark SQL and PySpark in Databricks, covering data cleaning, aggregations, joins, window functions, streaming, and building production pipelines with Workflows and Lakeflow Declarative Pipelines.
Do I need my own Databricks workspace to take this course?
No. Each learner gets an isolated Databricks workspace with preloaded datasets, tables, and exercise notebooks, so you can start practicing immediately without any setup.
How will this course help me in my career?
You will gain in-demand skills for data engineering and analytics roles, including writing optimized Spark queries, building Delta Lake pipelines, and orchestrating production workflows on one of the most widely used cloud data platforms.
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