Apache Spark and Databricks for Beginners: Learn Hands-On
Learn Apache Spark, PySpark, and Databricks for Modern Data Engineering: Using Databricks Community Edition
4.45 (983 reviews)
13,308
students
8.5 hours
content
Jan 2025
last update
$44.99
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What you will learn
Set up Databricks Community Edition: Quickly configure your free cloud-based environment to start practicing big data tasks.
Grasp Apache Spark & Distributed Computing: Understand Spark’s architecture and how it efficiently processes massive datasets in parallel.
Refresh Python Collections: Strengthen your foundation in lists, tuples, dictionaries, and sets to apply them seamlessly in Spark.
Work with Spark RDDs & APIs: Learn key transformations and actions to handle distributed data effectively.
Analyze Data with DataFrames & PySpark APIs: Use DataFrame operations and PySpark to query, transform, and summarize large datasets.
Integrate Spark SQL: Blend SQL skills with Spark to run complex queries and analysis on massive data.
Compare Approaches with Word Count: Implement the classic Word Count example using both PySpark and Spark SQL for deeper understanding.
Use dbutils for File Analysis: Interact with file systems directly in Databricks notebooks to streamline data workflows.
Manage Data with Delta Lake: Perform CRUD operations on large-scale data using Delta Lake for efficient data storage and management.
Apply Real-World Best Practices: Gain confidence through practical scenarios and hands-on exercises that prepare you for real data engineering challenges.
Related Topics
2511956
udemy ID
8/16/2019
course created date
11/20/2019
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