Windows Azure HDInsight Service, formerly known as Hadoop on Windows Azure, is now available inside the Windows Azure Preview portal. Hadoop-based big data tools are what I call the WMD(P), or Weapons of Mass Data Processing. (You heard it here first!) This is a very exciting development, and I would like to take a moment to recognize the great work our HDInsight team has done to pull this off.
1. To sign up, log into your Windows Azure account at http://www.windowsazure.com. At the bottom of the portal, click on New (+).
2. Then click on DATA SERVICES followed by HDInsight. Use the preview program link to navigate to sign up page.
At the Preview features page, also accessible from https://account.windowsazure.com/PreviewFeatures/, click on try it now next to Azure HDInsight Preview. Please be warned that this might take up-to a few days.
Getting Started and more Learning Content
Please provide feedback on this presentation to me via twitter: @wenmingye
Check out a copy from: https://github.com/WindowsAzure-TrainingKit/PRESENTATION-WindowsAzureHDInsight download using the zip link.
Or a download from a direct link: http://bit.ly/YPstrp
New channel 9 Video Series
Direct links to the Windows Azure Portal Documentation Section
Visit these articles first to get started using the HDInsight Service.
A conceptual overview of the components of HDInsight.
Learn the fundamentals of working with the HDInsight service.
Learn what Hadoop components and versions are included in HDInsight.
Learn how to upload and access data in HDInsight using Azure Storage Explorer, the interactive console, the Hadoop command line, or Sqoop.
One key feature of Microsoft’s Big Data Solution is solid integration of Apache Hadoop with Microsoft Business Intelligence (BI) components. A good example of this is the ability for Excel to connect to the Hive data warehouse framework in the Hadoop cluster. This topic walks you through using Excel via the Hive ODBC driver.
Tutorial: Simple recommendation engine using Apache Mahout Please provide feedback to @wenmingye on twitter.
Apache Mahout is a machine learning library built for use in scalable machine learning applications. Recommender engines are some of the most immediately recognizable machine learning applications in use today. In this tutorial you use the Million Song Dataset site and download the dataset to create song recommendations for users based on their past listening habits.
Tutorial: Analyzing Twitter Data with Hive Please provide feedback to @wenmingye on twitter.
In this tutorial you will query, explore, and analyze data from Twitter using the Apache Hadoop-based HDInsight Service for Windows Azure and a complex Hive example.
This tutorial will show you how to use the HDInsight service to process data stored in Windows Azure Blob Storage and move the results to a Windows Azure SQL Database.
Learn how to create an HDInsight cluster and use the administrative tools available through the Windows Azure Management Portal.
Learn how to monitor an HDInsight cluster and view Hadoop job history through the Windows Azure Management Portal.
Learn how to use the Windows Azure service management REST API to create, list, and delete HDInsight clusters programmatically.
Learn how to use the WebHCat REST API to provide metadata management and remote job submission to your Hadoop cluster.
Other contents are coming in the next few days to 2 weeks.