MySQL 8 for Big Data

Shabbir Challawala, Jaydip Lakhatariya, Chintan Mehta, Kandarp Patel

  • 出版商: Packt Publishing
  • 出版日期: 2017-10-23
  • 售價: $1,830
  • 貴賓價: 9.5$1,739
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Paperback
  • ISBN: 1788397185
  • ISBN-13: 9781788397186
  • 相關分類: MySQLSQL大數據 Big-data
  • 下單後立即進貨 (約3~4週)

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商品描述

Uncover the power of MySQL 8 for Big Data

About This Book

  • Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization
  • Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop
  • A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL

Who This Book Is For

This book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8.

What You Will Learn

  • Explore the features of MySQL 8 and how they can be leveraged to handle Big Data
  • Unlock the new features of MySQL 8 for managing structured and unstructured Big Data
  • Integrate MySQL 8 and Hadoop for efficient data processing
  • Perform aggregation using MySQL 8 for optimum data utilization
  • Explore different kinds of join and union in MySQL 8 to process Big Data efficiently
  • Accelerate Big Data processing with Memcached
  • Integrate MySQL with the NoSQL API
  • Implement replication to build highly available solutions for Big Data

In Detail

With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs.

Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing.

By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.

Style and approach

Step by Step guide filled with real-world practical examples.

商品描述(中文翻譯)

揭開 MySQL 8 在大數據方面的威力

關於本書
結合 MySQL 和 Hadoop 的力量,為您的組織建立堅實的大數據解決方案
將 MySQL 與不同的 NoSQL API 和大數據工具(如 Apache Sqoop)整合
提供實際示例的全面指南,教您如何使用 MySQL 構建高性能的大數據流水線

本書適合對象
本書適用於 MySQL 數據庫管理員和大數據專業人士,他們希望將 MySQL 8 和 Hadoop 整合,實現高性能的大數據解決方案。雖然本書將介紹 MySQL 8 中引入的新功能,但對 MySQL 的一些先前經驗會有所幫助。

您將學到什麼
探索 MySQL 8 的功能,以及如何利用這些功能處理大數據
解鎖 MySQL 8 的新功能,用於管理結構化和非結構化的大數據
將 MySQL 8 和 Hadoop 整合,實現高效的數據處理
使用 MySQL 8 進行聚合,實現最佳數據利用
探索 MySQL 8 中不同類型的聯接和聯合,以高效處理大數據
使用 Memcached 加速大數據處理
將 MySQL 與 NoSQL API 整合
實施複製,為大數據構建高可用解決方案

詳細內容
隨著組織定期處理大量數據,MySQL 已成為處理這些結構化大數據的流行解決方案。在本書中,您將了解到如何使用 MySQL 8 處理數十億條記錄,並以與商業數據庫解決方案相當或更高的性能載入和檢索數據,而成本更低。

今天,許多組織依賴於 MySQL 作為其網站和大數據解決方案,用於數據存檔、存儲和分析需求。然而,將它們整合在一起可能具有挑戰性。本書將向您展示如何使用 Apache Hadoop 和 MySQL 8 實施成功的大數據策略。它將涵蓋實時使用案例場景,以解釋整合並使用 Apache Hadoop、Apache Sqoop 和 MySQL Applier 實現大數據解決方案。此外,本書還包括有關 Apache Sqoop 和實時事件處理的案例研究。

通過閱讀本書,您將學會如何有效地使用 MySQL 8 管理您的大數據應用程序的數據。

風格和方法
逐步指南,充滿真實世界的實際示例。