Mastering Apache Spark

More Information
Learn
  • Extend the tools available for processing and storage
  • Examine clustering and classification using MLlib
  • Discover Spark stream processing via Flume, HDFS
  • Create a schema in Spark SQL, and learn how a Spark schema can be populated with data
  • Study Spark based graph processing using Spark GraphX
  • Combine Spark with H20 and deep learning and learn why it is useful
  • Evaluate how graph storage works with Apache Spark, Titan, HBase and Cassandra
  • Use Apache Spark in the cloud with Databricks and AWS
About

Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations.

This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment.

Features
  • Explore the integration of Apache Spark with third party applications such as H20, Databricks and Titan
  • Evaluate how Cassandra and Hbase can be used for storage
  • An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities
Page Count 318
Course Length 9 hours 32 minutes
ISBN 9781783987146
Date Of Publication 29 Sep 2015

Authors

Mike Frampton

Mike Frampton is an IT contractor, blogger, and IT author with a keen interest in new technology and big data. He has worked in the IT industry since 1990 in a range of roles (tester, developer, support, and author). He has also worked in many other sectors (energy, banking, telecoms, and insurance). He now lives by the beach in Pa raparaumu, New Zealand, with his wife and teenage son. Being married to a Thai national, he divides his time between Paraparaumu and their house in Roi Et, Thailand, between writing and IT consulting. He is always keen to hear about new ideas and technologies in the areas of big data, AI, IT and hardware, so look him up on LinkedIn (http://linkedin.com/profile/view?id=73219349) or his website (http://www.semtech-solutions.co.nz/#!/pageHome) to ask questions or just to say hi.