Home > Store

Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself

Register your product to gain access to bonus material or receive a coupon.

Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself

Book

  • Sorry, this book is no longer in print.
Not for Sale

eBook

  • Your Price: $34.39
  • List Price: $42.99
  • Includes EPUB and PDF
  • About eBook Formats
  • This eBook includes the following formats, accessible from your Account page after purchase:

    ePub EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

    Adobe Reader PDF The popular standard, used most often with the free Acrobat® Reader® software.

    This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

About

Features

  • Students build their skills one step at a time, in 24 one-hour lessons that take them from the absolute basics to advanced techniques
  • Helps students leverage current Microsoft BI tools and Microsoft Power BI to integrate data and create appealing, intuitive visualizations
  • Teaches through practical instructions, realistic examples, hands-on practice, Q-and-As, quizzes, exercises, tips, and more

Description

  • Copyright 2016
  • Dimensions: 7" x 9-1/8"
  • Pages: 592
  • Edition: 1st
  • Book
  • ISBN-10: 0-672-33727-4
  • ISBN-13: 978-0-672-33727-7

Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours


In just 24 lessons of one hour or less, Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours helps you leverage Hadoop’s power on a flexible, scalable cloud platform using Microsoft’s newest business intelligence, visualization, and productivity tools.


This book’s straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You’ll gain more of Hadoop’s benefits, with less complexity–even if you’re completely new to Big Data analytics. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success.


Practical, hands-on examples show you how to apply what you learn

Quizzes and exercises help you test your knowledge and stretch your skills

Notes and tips point out shortcuts and solutions

Learn how to…

·         Master core Big Data and NoSQL concepts, value propositions, and use cases

·         Work with key Hadoop features, such as HDFS2 and YARN

·         Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud

·         Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters

·         Integrate, analyze, and report with Microsoft BI and Power BI

·         Automate workflows for data transformation, integration, and other tasks

·         Use Apache HBase on HDInsight

·         Use Sqoop or SSIS to move data to or from HDInsight

·         Perform R-based statistical computing on HDInsight datasets

·         Accelerate analytics with Apache Spark

·         Run real-time analytics on high-velocity data streams

·         Write MapReduce, Hive, and Pig programs

Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available. 

Downloads

Downloads

Please download the code files associated with STY Big Data Analytics with Microsoft HDInsight in 24 Hours here.

Sample Content

Online Sample Chapter

Introduction to Hadoop Distributed File System Versions 1.0 and 2.0

Sample Pages

Download the sample pages (includes Chapter 3 and Index)

Table of Contents

Introduction

Part I: Understanding Big Data, Hadoop 1.0, and 2.0

Hour 1: Introduction of Big Data, NoSQL, and Business Value Proposition

Types of Analysis

Types of Data

Big Data

Managing Big Data

NoSQL Systems

Big Data, NoSQL Systems, and the Business Value Proposition

Application of Big Data and Big Data Solutions

Summary

Q&A

Hour 2: Introduction to Hadoop, Its Architecture, Ecosystem, and Microsoft Offerings

What Is Apache Hadoop?

Architecture of Hadoop and Hadoop Ecosystems

What’s New in Hadoop 2.0

Architecture of Hadoop 2.0

Tools and Technologies Needed with Big Data Analytics

Major Players and Vendors for Hadoop

Deployment Options for Microsoft Big Data Solutions

Summary

Q&A

Hour 3: Hadoop Distributed File System Versions 1.0 and 2.0

Introduction to HDFS

HDFS Architecture

Rack Awareness

WebHDFS

Accessing and Managing HDFS Data

What’s New in HDFS 2.0

Summary

Q&A

Hour 4: The MapReduce Job Framework and Job Execution Pipeline

Introduction to MapReduce

MapReduce Architecture

MapReduce Job Execution Flow

Summary

Q&A

Hour 5: MapReduce–Advanced Concepts and YARN

DistributedCache

Hadoop Streaming

MapReduce Joins

Bloom Filter

Performance Improvement

Handling Failures

Counter

YARN

Uber-Tasking Optimization

Failures in YARN

Resource Manager High Availability and Automatic Failover in YARN

Summary

Q&A

Part II: Getting Started with HDInsight and Understanding Its Different Components

Hour 6: Getting Started with HDInsight, Provisioning Your HDInsight Service Cluster, and Automating HDInsight Cluster Provisioning

Introduction to Microsoft Azure

Understanding HDInsight Service

Provisioning HDInsight on the Azure Management Portal

Automating HDInsight Provisioning with PowerShell

Managing and Monitoring HDInsight Cluster and Job Execution

Summary

Q&A

Exercise

Hour 7: Exploring Typical Components of HDFS Cluster

HDFS Cluster Components

HDInsight Cluster Architecture

High Availability in HDInsight

Summary

Q&A

Hour 8: Storing Data in Microsoft Azure Storage Blob

Understanding Storage in Microsoft Azure

Benefits of Azure Storage Blob over HDFS

Azure Storage Explorer Tools

Summary

Q&A

Hour 9: Working with Microsoft Azure HDInsight Emulator

Getting Started with HDInsight Emulator

Setting Up Microsoft Azure Emulator for Storage

Summary

Q&A

Part III: Programming MapReduce and HDInsight Script Action

Hour 10: Programming MapReduce Jobs

MapReduce Hello World!

Analyzing Flight Delays with MapReduce

Serialization Frameworks for Hadoop

Hadoop Streaming

Summary

Q&A

Hour 11: Customizing the HDInsight Cluster with Script Action

Identifying the Need for Cluster Customization

Developing Script Action

Consuming Script Action

Running a Giraph job on a Customized HDInsight Cluster

Testing Script Action with HDInsight Emulator

Summary

Q&A

Part IV: Querying and Processing Big Data in HDInsight

Hour 12: Getting Started with Apache Hive and Apache Tez in HDInsight

Introduction to Apache Hive

Getting Started with Apache Hive in HDInsight

Azure HDInsight Tools for Visual Studio

Programmatically Using the HDInsight .NET SDK

Introduction to Apache Tez

Summary

Q&A

Exercise

Hour 13: Programming with Apache Hive, Apache Tez in HDInsight, and Apache HCatalog

Programming with Hive in HDInsight

Using Tables in Hive

Serialization and Deserialization

Data Load Processes for Hive Tables

Querying Data from Hive Tables

Indexing in Hive

Apache Tez in Action

Apache HCatalog

Summary

Q&A

Exercise

Hour 14: Consuming HDInsight Data from Microsoft BI Tools over Hive ODBC Driver: Part 1

Introduction to Hive ODBC Driver

Introduction to Microsoft Power BI

Accessing Hive Data from Microsoft Excel

Summary

Q&A

Hour 15: Consuming HDInsight Data from Microsoft BI Tools over Hive ODBC Driver: Part 2

Accessing Hive Data from PowerPivot

Accessing Hive Data from SQL Server

Accessing HDInsight Data from Power Query

Summary

Q&A

Exercise

Hour 16: Integrating HDInsight with SQL Server Integration Services

The Need for Data Movement

Introduction to SSIS

Analyzing On-time Flight Departure with SSIS

Provisioning HDInsight Cluster

Summary

Q&A

Hour 17: Using Pig for Data Processing

Introduction to Pig Latin

Using Pig to Count Cancelled Flights

Using HCatalog in a Pig Latin Script

Submitting Pig Jobs with PowerShell

Summary

Q&A

Hour 18: Using Sqoop for Data Movement Between RDBMS and HDInsight

What Is Sqoop?

Using Sqoop Import and Export Commands

Using Sqoop with PowerShell

Summary

Q&A

Part V: Managing Workflow and Performing Statistical Computing

Hour 19: Using Oozie Workflows and Job Orchestration with HDInsight

Introduction to Oozie

Determining On-time Flight Departure Percentage with Oozie

Submitting an Oozie Workflow with HDInsight .NET SDK

Coordinating Workflows with Oozie

Oozie Compared to SSIS

Summary

Q&A

Hour 20: Performing Statistical Computing with R

Introduction to R

Integrating R with Hadoop

Enabling R on HDInsight

Summary

Q&A

Part VI: Performing Interactive Analytics and Machine Learning

Hour 21: Performing Big Data Analytics with Spark

Introduction to Spark

Spark Programming Model

Blending SQL Querying with Functional Programs

Summary

Q&A

Hour 22: Microsoft Azure Machine Learning

History of Traditional Machine Learning

Introduction to Azure ML

Azure ML Workspace

Processes to Build Azure ML Solutions

Getting Started with Azure ML

Creating Predictive Models with Azure ML

Publishing Azure ML Models as Web Services

Summary

Q&A

Exercise

Part VII: Performing Real-time Analytics

Hour 23: Performing Stream Analytics with Storm

Introduction to Storm

Using SCP.NET to Develop Storm Solutions

Analyzing Speed Limit Violation Incidents with Storm

Summary

Q&A

Hour 24: Introduction to Apache HBase on HDInsight

Introduction to Apache HBase

HBase Architecture

Creating HDInsight Cluster with HBase

Summary

Q&A

9780672337277   TOC   10/26/2015

Updates

Submit Errata

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.

Overview


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information


To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.

Surveys

Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.

Newsletters

If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information


Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.

Security


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.

Children


This site is not directed to children under the age of 13.

Marketing


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information


If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.

Choice/Opt-out


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information


Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents


California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure


Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.

Links


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact


Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice


We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020