Table of Contents

Chapter 1: The Hitchhiker's Guide to Big Data.- Chapter 2: Introduction to Spark.- Chapter 3: DStreams: Realtime RDDs.- Chapter 4: High Velocity Streams: Parallelism and Other Stories.- Chapter 5: Real-time Route 66: Linking External Data Sources.- Chapter 6: The Art of Side Effects.- Chapter 7: Getting Ready for Prime Time.- Chapter 8: Real-time ETL and Analytics Magic.- Chapter 9: Machine Learning at Scale.- Chapter 10: Of Clouds, Lambdas, and Pythons.

About the Author

Zubair Nabi is one of the very few computer scientists who have solved Big Data problems in all three domains: academia, research, and industry. He currently works at Qubit, a London-based start up backed by Goldman Sachs, Accel Partners, Salesforce Ventures, and Balderton Capital. Qubit helps retailers understand their customers and provide personalized customer experience, and which has a rapidly growing client base that includes Staples, Emirates, Thomas Cook, and Topshop. Prior to Qubit, he was a researcher at IBM Research, where he worked at the intersection of Big Data systems and analytics to solve real-world problems in the telecommunication, electricity, and urban dynamics space.
Zubair’s work has been featured in MIT Technology Review, SciDev, CNET, and Asian Scientist, and on Swedish National Radio, among others. He has authored more than 20 research papers, published by some of the top publication venues in computer science including USENIX Middleware, ECML PKDD, and IEEE BigData; and he also has a number of patents to his credit.
Zubair has an MPhil in computer science with distinction from Cambridge.