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  • Book Overview & Buying HDInsight Essentials - Second Edition
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HDInsight Essentials - Second Edition

HDInsight Essentials - Second Edition - Second Edition

By : Nadipalli
5 (1)
Buy this Book
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HDInsight Essentials - Second Edition

HDInsight Essentials - Second Edition

5 (1)
By: Nadipalli
Buy this Book

Overview of this book

If you want to discover one of the latest tools designed to produce stunning Big Data insights, this book features everything you need to get to grips with your data. Whether you are a data architect, developer, or a business strategist, HDInsight adds value in everything from development, administration, and reporting.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Hadoop and HDInsight in a Heartbeat
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1. Hadoop and HDInsight in a Heartbeat
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Data is everywhere
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Hadoop concepts
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Hadoop distributions
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HDInsight overview
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Hadoop on Windows deployment options
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Summary
2
2. Enterprise Data Lake using HDInsight
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2. Enterprise Data Lake using HDInsight
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Enterprise Data Warehouse architecture
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The next generation Hadoop-based Enterprise data architecture
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Journey to your Data Lake dream
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Tools and technology for Hadoop ecosystem
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Use case powered by Microsoft HDInsight
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Summary
3
3. HDInsight Service on Azure
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3. HDInsight Service on Azure
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Registering for an Azure account
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Azure storage
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Provisioning an HDInsight cluster
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HDInsight management dashboard
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Exploring clusters using the remote desktop
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Deleting the cluster
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HDInsight Emulator for the development
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Summary
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4. Administering Your HDInsight Cluster
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4. Administering Your HDInsight Cluster
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Monitoring cluster health
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Name Node status
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Hadoop Service Availability
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YARN Application Status
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Azure storage management
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Azure PowerShell
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Summary
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5. Ingest and Organize Data Lake
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5. Ingest and Organize Data Lake
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End-to-end Data Lake solution
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Ingesting to Data Lake using HDFS command
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Loading data to Azure Blob storage using Azure PowerShell
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Loading files to Data Lake using GUI tools
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Using Sqoop to move data from RDBMS to Data Lake
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Organizing your Data Lake in HDFS
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Managing file metadata using HCatalog
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Summary
6
6. Transform Data in the Data Lake
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6. Transform Data in the Data Lake
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Transformation overview
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Tools for transforming data in Data Lake
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Transformation for the OTP project
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Other tools used for transformation
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Summary
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7. Analyze and Report from Data Lake
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7. Analyze and Report from Data Lake
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Data access overview
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Analysis using Excel and Microsoft Hive ODBC driver
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Analysis using Excel Power Query
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Other BI features in Excel
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Ad hoc analysis using Hive
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Other alternatives for analysis
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Summary
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8. HDInsight 3.1 New Features
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8. HDInsight 3.1 New Features
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HBase
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Storm
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Apache Tez
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Summary
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9. Strategy for a Successful Data Lake Implementation
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9. Strategy for a Successful Data Lake Implementation
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Challenges on building a production Data Lake
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The success path for a production Data Lake
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Architectural considerations
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Online resources
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Summary
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Index
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Index

Chapter 4. Administering Your HDInsight Cluster

In the previous chapter, we looked at how to manage an HDInsight cluster using the Azure management portal. In this chapter, we will review how to access and manage the cluster using a remote desktop connection. We will cover the following topics:

  • Monitoring cluster health
  • Name Node status
  • Yarn application status
  • Azure storage management
  • Azure PowerShell
CONTINUE READING
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Tech Concepts
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Programming languages
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HDInsight Essentials - Second Edition
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