Book Image

Fast Data Processing with Spark 2 - Third Edition

By : Holden Karau
Book Image

Fast Data Processing with Spark 2 - Third Edition

By: Holden Karau

Overview of this book

When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API.
Table of Contents (18 chapters)
Fast Data Processing with Spark 2 Third Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

The API organization


As an introduction, the following figure gives you a bird's eye view of the classes and methods that are relevant. Sometimes, one gets lost in the numerous classes and deep hierarchies.

Tip

This organization is definitely something you should get used to. The MLlib library was more straightforward, but with far fewer capabilities. ML is definitely better, once you get the hang of it. It took me a few days to convert the examples; I had to visit/revisit the documentation multiple times. That is why I created the preceding diagram; this should make it easier for you to get a quick roadmap of the process while learning. Once done, it becomes easier to navigate the API documentation and find what one needs. Mastering the pipeline correctly will take a little while.