Book Image

Learning Apache Spark 2

By : Abbasi
Book Image

Learning Apache Spark 2

By: Abbasi

Overview of this book

Apache Spark has seen an unprecedented growth in terms of its adoption over the last few years, mainly because of its speed, diversity and real-time data processing capabilities. It has quickly become the preferred choice of tool for many Big Data professionals looking to find quick insights from large chunks of data. This book introduces you to the Apache Spark framework, and familiarizes you with all the latest features and capabilities introduced in Spark 2. Starting with a detailed introduction to Spark’s architecture and the installation procedure, this book covers everything you need to know about the Spark framework in the most practical manner. You will learn how to perform the basic ETL activities using Spark, and work with different components of Spark such as Spark SQL, as well as the Dataset and DataFrame APIs for manipulating your data. Then, you will perform machine learning using Spark MLlib, as well as perform streaming analytics and graph processing using the Spark Streaming and GraphX modules respectively. The book also gives special emphasis on deploying your Spark models, and how they can be operated in a clustered mode. During the course of the book, you will come across implementations of different real-world use-cases and examples, giving you the hands-on knowledge you need to use Apache Spark in the best possible manner.
Table of Contents (12 chapters)

Summary

This concludes our Appendix where we covered some topics based on performance tuning, sizing up your executors, handling data skew, configuring security, setting up a Jupyter notebook with Spark and finally broadcast variables and accumulators.

There are many more topics still to be covered, but we hope that this book has given you an effective quick-start with Spark 2.0, and you can use it to explore Spark further. Of course, Spark is one of the fastest moving projects out there, so by the time the book is out there will surely be many new features. One of the best places to keep up-to-date on the latest changes is http://spark.apache.org/documentation.html, where you can see the list of releases and the latest news.