Book Image

Learning Apache Spark 2

Book Image

Learning Apache Spark 2

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)

Chapter 5. Spark Streaming

All of us have been there. We go on to a new e-commerce website where we haven't bought anything before, like a new gadget, and decide to purchase it. As soon as we hit the checkout button, within a couple of seconds we get a message on our mobile phone from the credit card company asking if it was really us who was making the purchase. Let this sink in for a moment... The company has captured the transaction, realized it is not a usual transaction (some outlier detection mechanism), and made a call within a span of a few seconds.

It's a connected world out there, and streaming has become part and parcel of our digital life whether it is fraud detection, optimum ad placement, website monitoring, or self-driving cars. Sensors rule the roost, and pick up every bit of information you can possibly imagine ranging from the temperature fluctuations of your car's engine to your personal heart beat every second. The abundance of sensors has led...