Spark Cookbook

By introducing in-memory persistent storage, Apache Spark eliminates the need to store intermediate data in filesystems, thereby increasing processing speed by up to 100 times.

This book will focus on how to analyze large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will cover setting up development environments.

• nstall and configure Apache Spark with various cluster managers
• Set up development environments
• Perform interactive queries using Spark SQL
• Get to grips with real-time streaming analytics using Spark Streaming
• Master supervised learning and unsupervised learning using MLlib
• Build a recommendation engine using MLlib
• Develop a set of common applications or project types, and solutions that solve complex big data problems
• Use Apache Spark as your single big data compute platform and master its libraries
• Rishi Yadav has 19 years of experience in designing and developing enterprise applications. He is an open source software expert and advises American companies on big data and public cloud trends. Rishi was honored as one of Silicon Valley's 40 under 40 in 2014. He earned his bachelor's degree from the prestigious Indian Institute of Technology, Delhi, in 1998.
• About 12 years ago, Rishi started InfoObjects, a company that helps data-driven businesses gain new insights into data. InfoObjects combines the power of open source and big data to solve business challenges for its clients and has a special focus on Apache Spark. The company has been on the Inc. 5000 list of the fastest growing companies for 6 years in a row. InfoObjects has also been named the best place to work in the Bay Area in 2014 and 2015.