This video series highlights what's new in Apache 2.0 and reviews its core concepts. The course starts with a high-level overview of Spark's components and then dives into Spark 2.0's three main themes: simplicity, speed, and intelligence.

The simplicity section describes how Spark 2.0 unifies the Spark APIs and Spark session, and how Spark 2.0 simplifies machine learning via ML pipelines. The speed section illustrates how Spark 2.0 improves Spark performance with the push toward whole-stage code generation. And the intelligence section provides a quick primer on Spark Streaming and an introduction to the concepts of Structured Streaming. The course is designed for data scientists and data engineers with some basic experience using machine learning tools such as Python scikit-learn.

Understand the key features of Spark 2.0 that make building production pipelines easier than ever
Learn to solve data analytics problems by performing ad hoc analysis using Spark SQL
Gain experience in building machine learning solutions using Spark ML pipelines
Start prototyping with Structured Streaming to build continuous applications
Understand the paradigm shift and benefits of Datasets and DataFrames
Learn how Datasets and DataFrames are used for Spark SQL, machine learning, and streaming