About This Book
- Implement Spark's interactive shell to prototype distributed applications
- Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
- Use Shark's SQL query-like syntax with Spark
This article skims several approaches to bypass static go binaries. Being able to just drop-in an executable and instantly use a new tool is a killer feature of the Go language and you should be careful if scripts become dependencies to make it work.
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Fast Data Processing with Spark is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too much to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.