Udemy – Ace Databricks Certified Associate Developer – Apache Spark 2024-9

What you will learn in the course

• Understand the architecture, components, and role of Apache Spark in big data processing.
• Explore the features of Databricks and its integration with Spark to make data engineering processes more efficient.
• Learn the difference between RDDs, DataFrames, and Datasets and when to use each.
• Deep understanding of Spark drivers, executors, transformations, actions, and lazy evaluation.
• Perform filtering, grouping, and summarizing data using Spark DataFrames and Spark SQL.
• Mastery of Spark partitioning, fault tolerance, caching, persistence, and optimization mechanisms.
• Load, store, and process data in various formats such as JSON, CSV, and Parquet.
• Understand RDDs and key operations such as map and reduce, and learn about broadcast variables and accumulators.
• Configure and optimize Spark applications, monitor job execution, and use Spark debugging tools.
• And many other things

This course is suitable for people who:

• Data engineers who want to master Apache Spark and Databricks to build scalable data processing pipelines.
• Data analysts looking to expand their skills in processing and analyzing big data using Spark and Databricks.
• Developers interested in learning how to implement distributed data processing systems and optimize performance.
• Big data enthusiasts who are eager to understand the role of Spark in modern data frameworks and how to efficiently manage large datasets.
• IT professionals who need to design and manage Spark-based solutions in distributed environments.
• Anyone looking to advance their career in big data, cloud computing, or data engineering roles.

Installation Guide

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