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. A veteran engineer with over 20 years of experience in big and fast data and MLOps, Hubert has consulted for many financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solve many data problems. He is the author of Streaming Data Mesh from O'Reilly. Ralph M. Debusmann is a former AI/NLP researcher turned software engineer, solution architect and technologist, now acting as Enterprise Kafka Engineer at Migros-Genossenschafts-Bund in Zuerich, Switzerland. He received his PhD in computer science focusing on Natural Language Processing and Artificial Intelligence in 2006 (Saarbruecken University and University of Edinburgh) and has spent 15 years at SAP, Bosch, and Forecasty.AI/BASF SE before joining Migros-Genossenschafts-Bund in 2023.
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