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Data Transformation with Spark SQL in Databricks

IntermediateSkill Level
4.9+
30 reviews
Updated 05/2026
Build end-to-end data pipelines - from cleaning and aggregation to streaming and orchestration.
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DatabricksData Engineering
3 hr
7 videos
25 Exercises
1,750 XP
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Course Description

Ready to handle real-world data at scale? This course teaches you to transform large datasets using Spark SQL and PySpark in Databricks. Learn to shape and clean data, run aggregations with optimized joins, and apply window functions for advanced analytics. You'll also set up file-based streaming with fault-tolerant checkpoints and persist results as Delta tables. By the end, you'll be orchestrating multi-step production pipelines with Databricks Workflows and Lakeflow Declarative Pipelines.

Prerequisites

Introduction to Databricks SQLIntroduction to PySpark
1

Loading and Shaping Data

In this chapter, you'll learn how to work with Databricks notebooks, load CSV data into Spark DataFrames, and shape data using PySpark and SQL.
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2

Data Cleaning and Optimization

Learn how to define explicit schemas, build a data cleaning pipeline, and optimize query performance with broadcast joins.
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Data Transformation with Spark SQL in Databricks
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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.

Join over 19 million learners and start Data Transformation with Spark SQL in Databricks today!

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