HD Insight Succinctly by James Beresford

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HD Insight Succinctly by James Beresford

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HDInsight Succinctly aims to introduce the reader to some of the core concepts of the HDInsight platform and explain how to use some of the tools it makes available to process data. This will be demonstrated by carrying out a simple Sentiment Analysis process against a large volume of unstructured text data. This book has been written from the perspective of an experienced BI professional and, consequently, part of this book’s focus is on translating Hadoop concepts in those terms as well as on translating Hadoop tools to more familiar languages such as Structured Query Language (SQL) and MultiDimensional eXpressions (MDX). Experience in either of these languages is not required to understand this book but, for those with roots in the relational data world, experience in these languages will help in understanding its content.

1 2 By James Beresford Foreword by Daniel Jebaraj 3 Copyright © 2014 by Syncfusion, Inc. 2501 Aerial Center Parkway Suite 200 Morrisville, NC 27560 USA All rights reserved. mportant licensing information. Please read. This book is available for free download from www.syncfusion.com upon completion of a registration form. If you obtained this book from any other source, please register and download a free copy from www.syncfusion.com. This book is licensed for reading only if obtained from www.syncfusion.com. This book is licensed strictly for personal or educational use. Redistribution in any form is prohibited. The authors and copyright holders provide absolutely no warranty for any information provided. The authors and copyright holders shall not be liable for any claim, damages or any other liability arising from, out of or in connection with the information in this book. Please do not use this book if the listed terms are unacceptable. Use shall constitute acceptance of the terms listed. SYNCFUSION, SUCCINCTLY, DELIVER INNOVATION WITH EASE, ESSENTIAL and .NET ESSENTIALS are the registered trademarks of Syncfusion, Inc. Technical Reviewer: Buddy James Copy Editor: Suzanne Kattau Acquisitions Coordinator: Hillary Bowling, marketing coordinator, Syncfusion, Inc. Proofreader: Darren West, content producer, Syncfusion, Inc. I 4 Table of Contents Table of Figures 6 The Story behind the Succinctly Series of Books 7 About the Author 9 Aims of this Book 10 Chapter 1 Platform Overview 11 Microsoft’s Big Data Platforms 11 Data Management and Storage 12 HDInsight and Hadoop 12 Chapter 2 Sentiment Analysis 14 A Simple Overview 14 Complexities 16 Chapter 3 Using the HDInsight Platform on Azure to Perform Simple Sentiment Analysis 17 Chapter 4 Configuring an HDInsight Cluster 18 Chapter 5 HDInsight and the Windows Azure Storage Blob 20 Loading Data into Azure Blob Storage 20 Referencing Data in Azure Blob Storage 21 Chapter 6 HDInsight and PowerShell 24 Chapter 7 Using C# Streaming to Build a Mapper 25 Streaming Overview 26 Streaming with C# 26 Data Source 26 Data Challenges 27 Data Spanning Multiple Lines 27 Inconsistent Formatting 29 5 Quoted Text 30 Words of No Value 31 Executing the Mapper against the Data Sample 32 Chapter 8 Using Pig to Process and Enrich Data 35 Using Pig 35 Referencing the Processed Data in a Relation 36 Joining the Data 38 Aggregating the Data 39 Exporting the Results 40 Additional Analysis on Word Counts 41 Chapter 9 Using Hive to Store the Output 43 Creating an External Table to Reference the Pig Output 43 Chapter 10 Using the Microsoft BI Suite to Visualize Results 45 The Hive ODBC Driver and PowerPivot 45 Installing the Hive ODBC Driver 45 Setting up a DSN for Hive 45 Importing Data into Excel 47 Adding Context in PowerPivot 49 Importing a Date Table from Windows Azure DataMarket 50 Creating a Date Hierarchy 51 Linking to the Sentiment Data 53 Adding Measures for Analysis 53 Visualizing in PowerView 55 PowerQuery and HDInsight 59 Other Components of HDInsight 60 Oozie 60 Sqoop 60 Ambari 60 6 Table of Figures Figure 1: HDInsight from the Azure portal 18 Figure 2: Creating an HDInsight cluster 19 Figure 3: CloudBerry Explorer connected to Azure Storage 21 Figure 4: The Hadoop Command Line shortcut 35 Figure 5: Invoking the Pig Command Shell 36 Figure 6: DUMP output from Pig Command Shell 37 Figure 7: Pig command launching MapReduce jobs 41 Figure 8: ODBC apps 46 Figure 9: Creating a new System DSN using the Hive ODBC driver 46 Figure 10: Configuring the Hive DSN 47 Figure 11: The Excel PowerPivot Ribbon tab 47 Figure 12: Excel PowerPivot Manage Data Model Ribbon 48 Figure 13: Excel PowerPivot Table Import Wizard - Data Source Type selection 48 Figure 14: Excel PowerPivot Table Import Wizard - Data Link Type selection 48 Figure 15: Excel PowerPivot Table Import Wizard - Selecting Hive tables 49 Figure 16: Excel PowerPivot Data Model Diagram View 49 Figure 17: Excel PowerPivot Import Data from Data Service 50 Figure 18: Excel Windows Azure Marketplace browser 50 Figure 19: Excel Windows Azure Marketplace data feed options 51 Figure 20: Excel PowerPivot Data Model - Creating a hierarchy 52 Figure 21: Excel PowerPivot Data Model - Adding levels to a hierarchy 52 Figure 22: Adding a measure to the Data Model 54 Figure 23: Launching PowerView in Excel 55 Figure 24: PowerView fields browsing 56 Figure 25: PowerView sample report "Author name distribution" 57 Figure 26: PowerView sample report "Sentiment by Post Length" 58 Figure 27: PowerView sample report "Sentiment by Author over Time" 58 7 The Story behind the Succinctly Series of Books Daniel Jebaraj, Vice President Syncfusion, Inc. taying on the cutting edge As many of you may know, Syncfusion is a provider of software components for the Microsoft platform. This puts us in the exciting but challenging position of always being on the cutting edge. Whenever platforms or tools are shipping out of Microsoft, which seems to be about every other week these days, we have to educate ourselves, quickly. Information is plentiful but harder to digest In reality, this translates into a lot of book orders, blog searches, and Twitter scans. While more information is becoming available on the Internet and more and more books are being published, even on topics that are relatively new, one aspect that continues to inhibit us is the inability to find concise technology overview books. We are usually faced with two options: read several 500+ page books or scour the web for relevant blog posts and other articles. Just as everyone else who has a job to do and customers to serve, we find this quite frustrating. The Succinctly series This frustration translated into a deep desire to produce a series of concise technical books that would be targeted at developers working on the Microsoft platform. We firmly believe, given the background knowledge such developers have, that most topics can be translated into books that are between 50 and 100 pages. This is exactly what we resolved to accomplish with the Succinctly series. Isn’t everything wonderful born out of a deep desire to change things for the better? The best authors, the best content Each author was carefully chosen from a pool of talented experts who shared our vision. The book you now hold in your hands, and the others available in this series, are a result of the authors’ tireless work. You will find original content that is guaranteed to get you up and running in about the time it takes to drink a few cups of coffee. Free forever Syncfusion will be working to produce books on several topics. The books will always be free. Any updates we publish will also be free. S 8 Free? What is the catch? There is no catch here. Syncfusion has a vested interest in this effort. As a component vendor, our unique claim has always been that we offer deeper and broader frameworks than anyone else on the market. Developer education greatly helps us market and sell against competing vendors who promise to “enable AJAX support with one click” or “turn the moon to cheese!” Let us know what you think If you have any topics of interest, thoughts or feedback, please feel free to send them to us at succinctly-series@syncfusion.com. We sincerely hope you enjoy reading this book and that it helps you better understand the topic of study. Thank you for reading. Please follow us on Twitter and “Like” us on Facebook to help us spread the word about the Succinctly series! 9 About the Author James Beresford is a certified Microsoft Business Intelligence (BI) Consultant who has been working with the platform for over a decade. He has worked with all aspects of the stack, his specialty being extraction, transformation, and load (ETL) with SQL Server Integration Services (SSIS) and Data Warehousing on SQL Server. He has presented twice at TechEd in Australia and is a frequent presenter at various user groups. His client experience includes companies in the insurance, education, logistics and banking fields. He first used the HDInsight platform in its preview stage for a telecommunications company to analyse unstructured data, and has watched the platform grow and mature since its early days. He blogs at www.bimonkey.com and tweets @BI_Monkey. He can be found on LinkedIn at http://www.linkedin.com/in/jamesberesford. 10 Aims of this Book HDInsight Succinctly aims to introduce the reader to some of the core concepts of the HDInsight platform and explain how to use some of the tools it makes available to process data. This will be demonstrated by carrying out a simple Sentiment Analysis process against a large volume of unstructured text data. This book has been written from the perspective of an experienced BI professional and, consequently, part of this book’s focus is on translating Hadoop concepts in those terms as well as on translating Hadoop tools to more familiar languages such as Structured Query Language (SQL) and MultiDimensional eXpressions (MDX). Experience in either of these languages is not required to understand this book but, for those with roots in the relational data world, experience in these languages will help in understanding its content. Throughout the course of this book, the following features will be demonstrated:  Setting up and managing HDInsight clusters on Azure  The use of Azure Blob Storage to store input and output data  Understanding the role of PowerShell in managing clusters and executing jobs  Running MapReduce jobs written in C# on the HDInsight platform  The higher-level languages Pig and Hive  Connecting with Microsoft BI tools to retrieve, enrich, and visualize the output The example process will not cover all the features available in HDInsight. In a closing chapter, the book will review some of the features not previously discussed so the reader will have a complete view of the platform. It is worth nothing that the approaches used in this book are not designed to be optimal for performance or process time, as the aim is to demonstrate the capabilities of the range of tools available rather than focus on the most efficient way to perform a specific task. Performance considerations are significant as they will impact not just how long a job takes to run but also its cost. A long-running job consumes more CPU and one that generates a large volume of data—even as temporary files—will consume more storage. When this is paid for as part of a cloud service, the costs can soon mount up. [...]... Storage with HDInsight: http://www.windowsazure.com/enus/manage/services/hdinsight/howto-blob-store/ 23 Chapter 6 HDInsight and PowerShell PowerShell is the Windows scripting language that enables manipulation and automation of Windows environments.9 It is an extremely powerful utility that allows for execution of tasks from clearing local event logs to deploying HDInsight clusters on Azure When HDInsight... http://www.cloudberrylab.com/free-microsoft-azureexplorer.aspx 6 Azure Vault Storage in HDInsight: A Robust and Low Cost Storage Solution: http://blogs.msdn.com/b/silverlining/archive/2013/01/29/azure-vault-storage-in-hdinsight-a-robust-andlow-cost-storage-solution.aspx 7 Why use Blob Storage with HDInsight on Azure: http://dennyglee.com/2013/03/18/why-use-blobstorage-with-hdinsight-on-azure/ 20 Name GUI Free Source CloudXplorer Yes... part of the range of services available through the Windows Azure platform HDInsight was formally launched as a publicly available service in October 2013 Once access to the program is granted, HDInsight appears in the selection of available services: Figure 1: HDInsight from the Azure portal To create a cluster, select the HDInsight Service option and you will be directed to create one To do so, you... client desktop.19 In this case, we will use the command line which, when using the HDInsight platform, is accessed via the Hadoop command shell (a link to which is on the desktop): Figure 4: The Hadoop Command Line shortcut 19 Using Pig with HDInsight: http://www.windowsazure.com/en-us/manage/services/hdinsight/usingpig-with-hdinsight/ 35 At the command line, type “pig” and hit enter This will enter the... Visualizing using PowerView Chapter 4 Configuring an HDInsight Cluster Configuring an HDInsight cluster is designed to be an exercise that demonstrates the true capacity of the cloud to deliver infrastructure simply and quickly The process of provisioning a nine-node cluster (one head node and eight worker nodes) can take as little as 15 minutes to complete HDInsight is delivered as part of the range of services... http://www.cs.uic.edu/~liub/ 16 Chapter 3 Using the HDInsight Platform on Azure to Perform Simple Sentiment Analysis In this book, we will be discussing how to perform a simple, word-based Sentiment Analysis exercise using the HDInsight platform on Windows Azure This process will consist of several steps:         17 Creating and configuring an HDInsight cluster Uploading the data to Azure Blob... you gain flexibility over selecting your HDInsight version, exact number of nodes, location, ability to select Azure SQL for a Hive and Oozie metastore, and finally, more options over storage accounts including selecting multiple accounts 5 As per pricing quoted at time of writing from: http://www.windowsazure.com/enus/pricing/details/hdinsight/ 19 Chapter 5 HDInsight and the Windows Azure Storage Blob... configuration of the HDInsight instance 21 When creating the HDInsight cluster in the Management Portal using the Quick Create option, you specify an existing storage account Creating the cluster will also cause a new container to be created in that account Using Custom Create, you can specify the container within the storage account Normal Hadoop file references look like this: hdfs://[name node path]/directory... grasp on the tools within HDInsight we will demonstrate their usage through a applying a simple Sentiment Analysis process to a large volume of unstructured text data In this short non-technical section we will look at what Sentiment Analysis is As part of this a simple approach will be set down which is the one that will be used as we progress through our exploration of HDInsight A Simple Overview... associated with storage Any Hadoop process can then reference data on WASB and, by default, HDInsight uses it for all storage including temporary files The ability to use WASB applies to not just base Hadoop functions but extends to higher-level languages such as Pig and Hive Loading data into Azure Blob Storage can be carried out by a number of tools Some of these are listed below: Name GUI Free Source . PowerQuery and HDInsight 59 Other Components of HDInsight 60 Oozie 60 Sqoop 60 Ambari 60 6 Table of Figures Figure 1: HDInsight from the Azure portal 18 Figure 2: Creating an HDInsight. Complexities 16 Chapter 3 Using the HDInsight Platform on Azure to Perform Simple Sentiment Analysis 17 Chapter 4 Configuring an HDInsight Cluster 18 Chapter 5 HDInsight and the Windows Azure Storage. http://www.linkedin.com/in/jamesberesford. 10 Aims of this Book HDInsight Succinctly aims to introduce the reader to some of the core concepts of the HDInsight platform and explain how to use some of the

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Mục lục

  • Table of Figures

  • The Story behind the Succinctly Series of Books

  • About the Author

  • Aims of this Book

  • Chapter 1 Platform Overview

    • Microsoft’s Big Data Platforms

    • Data Management and Storage

    • HDInsight and Hadoop

    • Chapter 2 Sentiment Analysis

      • A Simple Overview

      • Complexities

      • Chapter 3 Using the HDInsight Platform on Azure to Perform Simple Sentiment Analysis

      • Chapter 4 Configuring an HDInsight Cluster

      • Chapter 5 HDInsight and the Windows Azure Storage Blob

        • Loading Data into Azure Blob Storage

        • Referencing Data in Azure Blob Storage

        • Chapter 6 HDInsight and PowerShell

        • Chapter 7 Using C# Streaming to Build a Mapper

          • Streaming Overview

          • Streaming with C#

          • Data Source

            • Data Challenges

            • Data Spanning Multiple Lines

            • Inconsistent Formatting

            • Quoted Text

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