Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark

✍ Scribed by Zubair Nabi (auth.)

• Publisher: Apress
• Year: 2016
• Tongue: English
• Leaves: 243
• Edition: 1
• Category: Library

✦ Synopsis

Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. Pro Spark Streaming walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in the book include social media, the sharing economy, finance, online advertising, telecommunication, and IoT.
In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming.

✦ Table of Contents

Front Matter....Pages i-xix
The Hitchhiker’s Guide to Big Data....Pages 1-8
Introduction to Spark....Pages 9-27
DStreams: Real-Time RDDs....Pages 29-50
High-Velocity Streams: Parallelism and Other Stories....Pages 51-67
Real-Time Route 66: Linking External Data Sources....Pages 69-97
The Art of Side Effects....Pages 99-123
Getting Ready for Prime Time....Pages 125-149
Real-Time ETL and Analytics Magic....Pages 151-175
Machine Learning at Scale....Pages 177-198
Of Clouds, Lambdas, and Pythons....Pages 199-225
Back Matter....Pages 227-230

✦ Subjects

Computer Appl. in Administrative Data Processing;Data Mining and Knowledge Discovery