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

With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to provision, configure, monitor, troubleshoot, and use HDInsight, even if you're new to big data analytics. Each short, easy lesson builds on all that's come before: you'll learn all of HDInsight's essentials as you solve real data analytics problems. Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours covers all this, and much more:

• Introduction of Big Data, NoSQL systems, its Business Value Proposition and use cases examples
• Introduction to Hadoop, Architecture, Ecosystem and Microsoft HDInsight
• Getting to know Hadoop 2.0 and the innovations it provides like HDFS2 and YARN
• Quickly installing, configuring, and monitoring Hadoop (HDInsight) clusters in the cloud and automating cluster provisioning
• Customize the HDInsight cluster and install additional Hadoop ecosystem projects using Script Actions
• Administering HDInsight from the Hadoop command prompt or Microsoft PowerShell
• Using the Microsoft Azure HDInsight Emulator for learning or development
• Understanding HDFS, HDFS vs. Azure Blob Storage, MapReduce Job Framework and Job Execution Pipeline
• Doing big data analytics with MapReduce, writing your MapReduce programs in your choice of .NET programming language such as C#
• Using Hive for big data analytics, demonstrate end to end scenario and how Apache Tez improves the performance several folds
• Consuming HDInsight data from Microsoft BI Tools over Hive ODBC Driver - Using HDInsight with Microsoft BI and Power BI to simplify data integration, analysis, and reporting
• Using PIG for big data transformation workflows step by step
• Apache HBase on HDInsight, its architecture, data model, HBase vs. Hive, programmatically managing HBase data with C# and Apache Phoenix
• Using Sqoop or SSIS (SQL Server Integration Services) to move data to/from HDInsight and build data integration workflows for transferring data
• Using Oozie for scheduling, co-ordination and managing data processing workflows in HDInsight cluster
• Using R programming language with HDInsight for performing statistical computing on Big Data sets
• Using Apache Spark's in-memory computation model to run big data analytics up to 100 times faster than Hadoop MapReduce
• Perform real-time Stream Analytics on high-velocity big data streams with Storm
• Integration of Enterprise Data Warehouse with Hadoop and Microsoft Analytics Platform System (APS), formally known as SQL Server Parallel Data Warehouse (PDW)

Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid problems. By the time you're finished, you'll be comfortable going beyond the book to create any HDInsight app you can imagine!

Arshad Ali has more than 13 years of experience in the computer industry. As a DB/DW/BI consultant in an end-to-end delivery role, he has been working on several enterprise-scale data warehousing and analytics projects for enabling and developing business intelligence and analytic solutions. He specializes in database, data warehousing, and business intelligence/analytics application design, development, and deployment at the enterprise level. He frequently works with SQL Server, Microsoft Analytics Platform System (APS, or formally known as SQL Server Parallel Data Warehouse [PDW]), HDInsight (Hadoop, Hive, Pig, HBase, and so on), SSIS, SSRS, SSAS, Service Broker, MDS, DQS, SharePoint, and PPS. In the past, he has also handled performance optimization for several projects, with significant performance gain.

Arshad is a Microsoft Certified Solutions Expert (MCSE)&;SQL Server 2012 Data Platform, and Microsoft Certified IT Professional (MCITP) in Microsoft SQL Server 2008&;Database Development, Data Administration, and Business Intelligence. He is also certified on ITIL 2011 foundation.

He has worked in developing applications in VB, ASP, .NET, ASP.NET, and C#. He is a Microsoft Certified Application Developer (MCAD) and Microsoft Certified Solution Developer (MCSD) for the .NET platform in Web, Windows, and Enterprise.

Arshad has presented at several technical events and has written more than 200 articles related to DB, DW, BI, and BA technologies, best practices, processes, and performance optimization techniques on SQL Server, Hadoop, and related technologies. His articles have been published on several prominent sites.

On the educational front, Arshad holds a Master in Computer Applications degree and a Master in Business Administration in IT degree.

Arshad can be reached at arshad.ali@live.in, or visit http://arshadali.blogspot.in/ to connect with him.

 

Manpreet Singh is a consultant and author with extensive expertise in architecture, design, and implementation of business intelligence and Big Data analytics solutions. He is passionate about enabling businesses to derive valuable insights from their data.

Manpreet has been working on Microsoft technologies for more than 8 years, with a strong focus on Microsoft Business Intelligence Stack, SharePoint BI, and Microsoft&;s Big Data Analytics Platforms (Analytics Platform System and HDInsight). He also specializes in Mobile Business Intelligence solution development and has helped businesses deliver a consolidated view of their data to their mobile workforces.

Manpreet has coauthored books and technical articles on Microsoft technologies, focusing on the development of data analytics and visualization solutions with the Microsoft BI Stack and SharePoint. He holds a degree in computer science and engineering from Panjab University, India.

Manpreet can be reached at manpreet.singh3@hotmail.com.