Apache Hive Cookbook
Hanish Bansal, Saurabh Chauhan, Shrey Mehrotra
- 出版商: Packt Publishing
- 出版日期: 2016-04-20
- 售價: $1,940
- 貴賓價: 9.5 折 $1,843
- 語言: 英文
- 頁數: 268
- 裝訂: Paperback
- ISBN: 1782161082
- ISBN-13: 9781782161080
-
相關分類:
Hadoop
海外代購書籍(需單獨結帳)
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相關主題
商品描述
Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world
About This Book
- Grasp a complete reference of different Hive topics.
- Get to know the latest recipes in development in Hive including CRUD operations
- Understand Hive internals and integration of Hive with different frameworks used in today's world.
Who This Book Is For
The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required
What You Will Learn
- Learn different features and offering on the latest Hive
- Understand the working and structure of the Hive internals
- Get an insight on the latest development in Hive framework
- Grasp the concepts of Hive Data Model
- Master the key concepts like Partition, Buckets and Statistics
- Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc
In Detail
Hive was developed by Facebook and later open sourced in apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world.
This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also cover the source code explanation of latest Hive version.
Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks.
Style and approach
Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
商品描述(中文翻譯)
簡單易懂的實作指南,幫助您了解Hive及其與當今大數據世界中廣泛使用的框架的整合
關於本書
- 全面掌握Hive的各種主題。
- 了解Hive最新的開發指南,包括CRUD操作。
- 理解Hive的內部結構以及與當今世界中不同框架的整合。
本書適合對象
本書適合想要開始學習Hive或對Hive框架有基本了解的讀者。同時需要具備基本SQL命令的知識。
您將學到什麼
- 學習最新版本Hive的不同功能和特點。
- 理解Hive內部運作和結構。
- 深入了解Hive框架的最新發展。
- 掌握Hive數據模型的概念。
- 熟練掌握分區、桶和統計等關鍵概念。
- 了解如何將Hive與其他框架(如Spark、Accumulo等)整合。
詳細內容
Hive是由Facebook開發並在Apache社區中開源的。Hive提供了類似SQL的接口,用於在大數據框架上運行查詢。Hive提供了類似SQL的語法,也稱為HQL,包括當今大數據世界所需的所有SQL功能,如分析函數。
本書為您提供了使用Hive支持的不同類型的元數據庫的簡單安裝步驟。本書還提供了配置Hive客戶端和服務的簡單易學的指南。您還將學習不同的Hive優化技巧,包括分區和桶。本書還涵蓋了最新Hive版本的源代碼解釋。
Hive查詢語言也被其他框架(包括Spark)使用。在本書的最後,您將學習如何將Hive與這些框架整合。
風格和方法
本書從基礎知識開始,涵蓋核心概念並提供實際應用,是學習和探索Hive的完整指南。