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商品描述
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
商品描述(中文翻譯)
即時應用程式如今已成為常態。然而，建立一個正常運作的模型需要來自來源的即時數據、在飛行中的流處理，以及其分析的低延遲服務。這本實用的書籍將幫助數據工程師、數據架構師和數據分析師學習如何使用流式數據庫來構建即時解決方案。
作者 Hubert Dulay 和 Ralph M. Debusmann 將帶您了解流式數據庫的基本原理，包括這些數據庫如何減少即時解決方案所需的基礎設施。您將學習流式數據庫、流處理和即時線上分析處理（OLAP）數據庫之間的區別。您還將發現何時使用推送查詢與拉取查詢，以及如何提供來自流式數據庫的同步和非同步數據。
本指南將幫助您：
- 探索流處理和流式數據庫
- 學習如何使用流式數據庫構建即時解決方案
- 理解如何從任意數量的流構建物化視圖
- 學習如何提供同步和非同步數據
- 開始構建低複雜度的流式解決方案，並進行最小設置
