Apache Hive Cookbook
暫譯: Apache Hive 食譜

Hanish Bansal, Saurabh Chauhan, Shrey Mehrotra

Apache Hive Cookbook
  • 出版商: Packt Publishing
  • 出版日期: 2016-04-20
  • 售價: $2,000
  • 貴賓價: 9.5 折 $1,900
  • 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)

簡單易懂的實作食譜，幫助您理解 Hive 及其與當今大數據世界中廣泛使用的框架的整合

本書介紹



  • 掌握不同 Hive 主題的完整參考。

  • 了解 Hive 中最新的開發食譜，包括 CRUD 操作。

  • 理解 Hive 的內部運作及其與當今世界中不同框架的整合。

本書適合誰閱讀


本書適合希望開始學習 Hive 或對 Hive 框架有基本了解的人士。需要具備基本 SQL 命令的先前知識。

您將學到什麼



  • 學習最新 Hive 的不同功能和提供的服務。

  • 理解 Hive 內部的運作和結構。

  • 深入了解 Hive 框架的最新開發。

  • 掌握 Hive 數據模型的概念。

  • 精通分區（Partition）、桶（Buckets）和統計（Statistics）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，後來在 Apache 社區開源。Hive 提供類似 SQL 的介面來在大數據框架上執行查詢。Hive 提供的 SQL 類似語法稱為 HQL，包含所有 SQL 功能，如分析函數，這在當今的大數據世界中是非常需要的。


本書提供了不同類型的 Hive 支援的元存儲（metastore）安裝步驟。這本書有簡單易學的食譜，用於配置 Hive 客戶端和服務。您還將學習不同的 Hive 優化，包括分區和桶化。書中還涵蓋了最新 Hive 版本的源代碼解釋。


Hive 查詢語言（Hive Query Language）也被其他框架如 Spark 使用。在書的最後，您將學習 Hive 與這些框架的整合。

風格與方法


從基礎開始，涵蓋核心概念及其實際應用，本書是學習和探索 Hive 提供的完整指南。

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