8 Steps for a Developer to Learn Apache Spark™ with Delta Lake

8 Steps for a Developer to Learn Apache Spark™  with Delta Lake

Apache Spark™ 2.x is a monumental shift in ease of use, higher performance, and smarter unification of APIs across Spark components. For a developer, this shift and use of structured and unified APIs across Spark’s components are tangible strides in learning Apache Spark. And for the data being processed, Delta Lake brings data reliability and performance to data lakes, with capabilities like ACID transactions, schema enforcement, DML commands, and time travel.

In this eBook, we offer a step-by-step guide to technical content and related assets that will lead you to learn Apache Spark. Whether you’re getting started with Spark or are an accomplished developer, these seven steps will let you explore all aspects of Apache Spark 2.x and its benefits. The steps include:

  • Why Apache Spark
  • Apache Spark Concepts, Key Terms and Keywords
  • Advanced Apache Spark Internals and Core
  • DataFrames, Datasets and Spark SQL Essentials
  • Graph Processing with GraphFrames
  • Continuous Applications with Structured Streaming
  • Machine Learning for Humans
  • Reliable Data Lakes and Data Pipelines

Download the eBook, 8 Steps for a Developer to Learn Apache® Spark™, to learn more.

Get the eBook by Email