Book description
NoneTable of contents
- About This E-Book
- Title Page
- Copyright Page
- Contents at a Glance
- Table of Contents
- About the Authors
- Dedications
- Acknowledgments
- We Want to Hear from You!
- Reader Services
- Introduction
-
Part I: Understanding Big Data, Hadoop 1.0, and 2.0
- Hour 1. Introduction of Big Data, NoSQL, and Business Value Proposition
- Hour 2. Introduction to Hadoop, Its Architecture, Ecosystem, and Microsoft Offerings
- Hour 3. Hadoop Distributed File System Versions 1.0 and 2.0
- Hour 4. The MapReduce Job Framework and Job Execution Pipeline
- Hour 5. MapReduce—Advanced Concepts and YARN
-
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
- Hour 7. Exploring Typical Components of HDFS Cluster
- Hour 8. Storing Data in Microsoft Azure Storage Blob
- Hour 9. Working with Microsoft Azure HDInsight Emulator
-
Part III: Programming MapReduce and HDInsight Script Action
- Hour 10. Programming MapReduce Jobs
- Hour 11. Customizing the HDInsight Cluster with Script Action
-
Part IV: Querying and Processing Big Data in HDInsight
- Hour 12. Getting Started with Apache Hive and Apache Tez in HDInsight
- Hour 13. Programming with Apache Hive, Apache Tez in HDInsight, and Apache HCatalog
- Hour 14. Consuming HDInsight Data from Microsoft BI Tools over Hive ODBC Driver: Part 1
- Hour 15. Consuming HDInsight Data from Microsoft BI Tools over Hive ODBC Driver: Part 2
- Hour 16. Integrating HDInsight with SQL Server Integration Services
- Hour 17. Using Pig for Data Processing
- Hour 18. Using Sqoop for Data Movement Between RDBMS and HDInsight
-
Part V: Managing Workflow and Performing Statistical Computing
- Hour 19. Using Oozie Workflows and Job Orchestration with HDInsight
- Hour 20. Performing Statistical Computing with R
-
Part VI: Performing Interactive Analytics and Machine Learning
- Hour 21. Performing Big Data Analytics with Spark
- Hour 22. Microsoft Azure Machine Learning
-
Part VII: Performing Real-time Analytics
- Hour 23. Performing Stream Analytics with Storm
- Hour 24. Introduction to Apache HBase on HDInsight
-
Part VIII: Bonus Chapters
- Hour 25. Getting Started with Apache HBase on HDInsight
- Hour 26. Integration of Enterprise Data Warehouse with Hadoop and the Microsoft Analytics Platform System
- Index
- Code Snippets
Product information
- Title: Sams Teach Yourself: Big Data Analytics with Microsoft HDInsight in 24 Hours, Big Data, Hadoop, and Microsoft Azure for Better Business Intelligence
- Author(s):
- Release date:
- Publisher(s): Sams
- ISBN: None
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