Building Real-Time Analytics Systems (Second Early Release)

Gain deep insight into real- analytics, including the features of these systems and the problems they solve. With this practical book, data eeers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real . The faster you derive insights, the quicker you can spot changes in your business and act accordingly.

In the first part of this book, authors Mark Needham and Dunith Dhanushka from StarTree provide an overview of the real- analytics space and an understanding of what goes into building real- applications. The second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real- analytics applications for an imaginary pizza delivery service.

With this book, you will

Learn common architectures for real- analytics

Discover how event processing differs from real- analytics

Ingest event data from Apache Kafka into Apache Pinot

Combine event streams with static data using Kafka Streams

Write real- queries against event data stored in Apache Pinot

Build a real- dashboard, fraud detection pipeline, order tracking app, and anomaly detection system

Learn how organizations like Uber, Stripe, and Just Eat use real- analytics