Key Features
Book Description
What you will learn
- Install and configure Apache Spark with various cluster managers
- Set up development environments
- Perform interactive queries using Spark SQL
- Get to grips with realtime 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
Who this book is for
If you are a data engineer, an application developer, or a data scientist who would like to leverage the power of Apache Spark to get better insights from big data, then this is the book for you.
Table of Contents
- Getting Started with Spark
- Developing Applications with Spark
- External data sources
- Spark SQL
- Spark Streaming
- Getting started with Machine Learning
- Supervised Learning with Mllib
- Supervised Learning with MLlib
- Unsupervised Learning
- Recommender Systems
- Graph Processing
- Optimization and Performance Tuning
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