Book Image

Mastering Apache Spark 2.x - Second Edition

Book Image

Mastering Apache Spark 2.x - Second Edition

Overview of this book

Apache Spark is an in-memory, cluster-based Big Data processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and more. This book will take your knowledge of Apache Spark to the next level by teaching you how to expand Spark’s functionality and build your data flows and machine/deep learning programs on top of the platform. The book starts with a quick overview of the Apache Spark ecosystem, and introduces you to the new features and capabilities in Apache Spark 2.x. You will then work with the different modules in Apache Spark such as interactive querying with Spark SQL, using DataFrames and DataSets effectively, streaming analytics with Spark Streaming, and performing machine learning and deep learning on Spark using MLlib and external tools such as H20 and Deeplearning4j. The book also contains chapters on efficient graph processing, memory management and using Apache Spark on the cloud. By the end of this book, you will have all the necessary information to master Apache Spark, and use it efficiently for Big Data processing and analytics.
Table of Contents (21 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
10
Deep Learning on Apache Spark with DeepLearning4j and H2O

Example - connection to a MQTT message broker


So, let's start with a sample use case. Let's connect to an Internet of Things (IoT) sensor data stream. As we haven't covered machine learning so far, we don't analyze the data, we just showcase the concept.

We are using the IBM Watson IoT platform as a streaming source. At its core, the Watson IoT platform is backed by an MQTT (Message Queue Telemetry Transport) message broker. MQTT is a lightweight telemetry protocol invented by IBM in 1999 and became-- an OASIS (Organization for the Advancement of Structured Information Standards, a global nonprofit consortium that works on the development, convergence, and adoption of standards for security, Internet of Things, energy, content technologies, emergency management, and other areas) standard in 2013--the de facto standard for IoT data integration.

Note

Messaging between applications can be backed by a message queue which is a middleware system supporting asynchronous point to point channels in...