Fr. 105.00

Streaming Databases - Building Real-Time, User-Facing Solutions

Inglese · Tascabile

Spedizione di solito entro 3 a 5 settimane

Descrizione

Ulteriori informazioni










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


Info autore










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.

Dettagli sul prodotto

Autori Ralph Debusmann, Ralph Matthias Debusmann, Hubert Dulay, Raplh Matthias Debusmann
Editore O'Reilly
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.08.2024
 
EAN 9781098154837
ISBN 978-1-0981-5483-7
Dimensioni 178 mm x 232 mm x 15 mm
Peso 460 g
Categorie Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica

Data Warehousing, COMPUTERS / Data Science / Data Warehousing

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