Streaming Databases Unifying Batch and Stream Processing (Hubert Dulay, Ralph M. Debusmann) (Z-Library)

Author： Hubert Dulay, Ralph M. Debusmann

Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup Hubert Dulay is a systems and data engineer at StarTree and the coauthor of Streaming Data Mesh. Ralph M. Debusmann, PhD, is a former AI/NLP researcher who currently serves as lead enterprise Kafka engineer at Migros-Genossenschafts-Bund.

AI Reading Assistant

Whole-book reading guide from stratified index samples; jump to passages in the text

Generate book guide

Help cover token costs

Tip the Site

Support this site Your recognition and a small knowledge-service contribution help keep this technical work open source. Scan the WeChat Pay or Alipay code below. Logged-in and guest visitors can both tip.

Open WeChat or Alipay and scan. No login required.

Regenerate

Passage locations

Ask

Collapse guide