Rajesh Nadipalli - HDInsight Essentials, 2nd Edition [2015, PDF/EPUB, ENG] + Code
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| Rajesh Nadipalli - HDInsight Essentials, 2nd Edition - 2015.epub | 12.24 MB | ||
| Rajesh Nadipalli - HDInsight Essentials, 2nd Edition - 2015.pdf | 8.6 MB |
Description
Книги и журналы » Компьютерная литература » Программирование (книги)
HDInsight Essentials, 2nd Edition
Год: 2015
Автор: Rajesh Nadipalli
Издательство: Packt Publishing
ISBN: 978-1-78439-666-4
Язык: Английский
Формат: PDF/EPUB
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 178
Описание:
Traditional relational databases are today ineffective with dealing with the challenges presented by Big Data. A Hadoop-based architecture offers a radical solution, as it is designed specifically to handle huge sets of unstructured data.
This book takes you through the journey of building a modern data lake architecture using HDInsight, a Hadoop-based service that allows you to successfully manage high volume and velocity data in the Microsoft Azure Cloud. Featuring a wealth of practical examples, you'll find tips and techniques to provision your own HDInsight cluster to ingest, organize, transform, and analyze data.
While guided through HDInsight, you'll explore the wider Hadoop ecosystem with plenty of working examples on Hadoop technologies including Hive, Pig, MapReduce, HBase, Storm, and analytics solutions including using Excel PowerQuery, PowerMap, and PowerBI.
[spoiler="Примеры страниц"]
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[spoiler="Оглавление"]
Preface
Chapter 1: Hadoop and HDInsight in a Heartbeat
Data is everywhere
Hadoop concepts
Hadoop distributions
HDInsight overview
Hadoop on Windows deployment options
Chapter 2: Enterprise Data Lake using HDInsight
Enterprise Data Warehouse architecture
The next generation Hadoop-based Enterprise data architecture
Journey to your Data Lake dream
Tools and technology for Hadoop ecosystem
Use case powered by Microsoft HDInsight
Chapter 3: HDInsight Service on Azure
Registering for an Azure account
Azure storage
Provisioning an HDInsight cluster
HDInsight management dashboard
Exploring clusters using the remote desktop
Deleting the cluster
HDInsight Emulator for the development
Chapter 4: Administering Your HDInsight Cluster
Monitoring cluster health
Name Node status
Hadoop Service Availability
YARN Application Status
Azure storage management
Azure PowerShell
Chapter 5: Ingest and Organize Data Lake
End-to-end Data Lake solution
Ingesting to Data Lake using HDFS command
Loading data to Azure Blob storage using Azure PowerShell
Loading files to Data Lake using GUI tools
Using Sqoop to move data from RDBMS to Data Lake
Organizing your Data Lake in HDFS
Managing file metadata using HCatalog
Chapter 6: Transform Data in the Data Lake
Transformation overview
Tools for transforming data in Data Lake
Transformation for the OTP project
Other tools used for transformation
Chapter 7: Analyze and Report from Data Lake
Data access overview
Analysis using Excel and Microsoft Hive ODBC driver
Analysis using Excel Power Query
Other BI features in Excel
Ad hoc analysis using Hive
Other alternatives for analysis
Chapter 8: HDInsight 3.1 New Features
HBase
Storm
Apache Tez
Chapter 9: Strategy for a Successful Data Lake Implementation
Challenges on building a production Data Lake
The success path for a production Data Lake
Architectural considerations
Online resources
Index
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