Processing Big Data with Azure HDInsight

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
by: Vinit Yadav
ISBN-10: 1484228685
ISBN-13: 9781484228685
Edition 版本:‏ 1st ed.
Released: 2017-06-27
Pages: 207
Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java,Scala,or Python,this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered,including Hive,Pig,HBase,Storm,and Spark on Azure HDInsight,and code samples are written in .NET only.
Processing Big Data with Azure HDInsight covers the fundamentals of big data,how businesses are using it to their advantage,and how Azure HDInsight fits into the big data world. This book introduces Hadoop and big data concepts and then dives into creating different solutions with HDInsight and the Hadoop Ecosystem. It covers concepts with real-world scenarios and code examples,making sure you get hands-on experience. The best way to utilize this book is to practice while reading. After reading this book you will be familiar with Azure HDInsight and how it can be utilized to build big data solutions,including batch processing,stream analytics,interactive processing,and storing and retrieving data in an efficient manner.
What You’ll Learn
Understand the fundamentals of HDInsight and Hadoop
Work with HDInsight cluster
Query with Apache Hive and Apache Pig
Store and retrieve data with Apache HBase
Stream data processing using Apache Storm
Work with Apache Spark
Who This Book Is For
Software developers,technical architects,data scientists/analyts,and Hadoop administrators who want to develop on Microsoft’s managed Hadoop offering,HDInsight
Contents
Chapter 1: Big Data,Hadoop,and HDInsight
Chapter 2: Provisioning an HDInsight Cluster
Chapter 3: Working with Data in HDInsight
Chapter 4: Querying Data with Hive
Chapter 5: Using Pig with HDInsight
Chapter 6: Working with HBase
Chapter 7: Real-Time Analytics with Storm
Chapter 8: Exploring Data with Spark
使用Azure HDInsight处理大数据: 在Azure HDInsight上构建现实世界大数据系统使用Hadoop生态系统
使用Azure HDInsight和Hadoop生态系统组件，开始跳跃。由于大多数Hadoop和Big Data项目都是用Java，Scala或Python编写的，所以本书最大限度地减少了学习另一种语言的努力，并从.NET开发人员的角度编写。涵盖了Hadoop组件，包括Hive，Pig，HBase，Storm和Azure在Azure HDInsight上，代码示例仅以.NET编写。
使用Azure处理大数据HDInsight涵盖了大数据的基础知识，企业如何利用它们的优势，以及Azure HDInsight如何适应大数据世界。本书介绍了Hadoop和大数据概念，然后深入研究了使用HDInsight和Hadoop生态系统创建不同的解决方案。它涵盖了具有现实世界场景和代码示例的概念，确保您获得实践经验。使用这本书的最好方法是在阅读时练习。阅读本书后，您将熟悉Azure HDInsight，以及如何利用它们构建大型数据解决方案，包括批处理，流分析，交互式处理以及高效存储和检索数据。
你会学到什么
了解HDInsight和Hadoop的基础知识
与HDInsight集群合作
查询Apache Hive和Apache Pig
使用Apache HBase存储和检索数据
使用Apache Storm流数据处理
使用Apache Spark
这本书是谁
软件开发人员，技术架构师，数据科学家/分析师以及希望通过微软管理的Hadoop产品开发的Hadoop管理员HDInsight
目录
第1章: 大数据，Hadoop和HDInsight
第2章: 配置HDInsight集群
第3章: 使用HDInsight中的数据
第4章: 用Hive查询数据
第5章: 将猪用于HDInsight
第六章: 使用HBase
第7章: 风暴实时分析
第8章: 使用Spark探索数据