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Learning map: Get guidance for learning Hadoop
Use HiveQL to query data in an Apache log4j log file, and report basic statistics.
Write Pig Latin statements to analyze an Apache log4j log file, and run various queries on the data to generate output.
Both Hive and Pig allow you to create User Defined Functions (UDFs) using a variety of programming languages. Learn how to use a Python UDF from Hive and Pig.
Learn how to use Azure PowerShell from your workstation to submit a MapReduce program that counts word occurrences in text to an HDInsight cluster.
A key feature of Microsoft’s Big Data solution is solid integration of Apache Hadoop with Microsoft Business Intelligence (BI) components. Learn how to use Power Query to import HDInsight data into Excel.
Learn how to use HiveQL in HDInsight to analyze website logs to get insight into the frequency of visits in a day from external websites, and a summary of website errors that the users experience.
Learn how to analyze sensor data using Hive with HDInsight (Hadoop), and then visualize the data in Microsoft Excel. This sample uses Hive to process historical data produced by HVAC systems to report on reliability.
Learn how to use Hive to calculate the average flight delay among airports, and then use Sqoop to export the results to SQL Database.
Import data from Azure HDInsight into Excel using the Microsoft Hive ODBC Driver.
Learn how to use Hive to analyze Twitter data to find usage frequency of a particular word.
Using geo-tagged Tweets, learn how to do real-time sentiment analysis of big data using HBase in an HDInsight (Hadoop) cluster. Then, plot statistical results on Bing Maps.
Learn how to use a Mahout recommendation engine to get movie recommendations based on user preferences. Mahout is a machine learning library for Hadoop that contains algorithms for processing data.
Learn how to install R for big data processing for machine learning on clusters deployed on Hadoop in HDInsight.
Use Script Actions to install Spark on HDInsight clusters.
Learn how to install and use HDInsight Tools for Visual Studio to connect to HDInsight and run Hive queries.
Learn how to create and build an Apache HBase application in Java using Apache Maven. Then, use the application with HDInsight (Hadoop.)
Learn how to submit MapReduce and Hive jobs using PowerShell and HDInsight .NET SDK.
Follow this end-to-end scenario to learn how to develop and test a word-counting MapReduce job on HDInsight Emulator, and then deploy and run it on HDInsight.
Learn how to develop and test a Hadoop streaming MapReduce program on HDInsight Emulator, and then run it on HDInsight using a PowerShell script.
The four samples included are intended to get you started quickly and to give you an extensible testing bed to work through concepts. Create data sets, and observe the effects of data size on jobs.
Learn how to use Azure PowerShell from a workstation to run Sqoop import and export between an HDInsight cluster and an Azure SQL database.
Learn how to use the Microsoft .NET Library for Avro to serialize objects and other data structures into streams of bytes in order to persist them to memory, a database, or a file.
Learn how to run an Apache Oozie workflow to process a log4j log file to count the occurrences of each log level type. Then, export the results to an Azure SQL database table.
Learn how to define workflows and coordinators, and how to trigger the Hadoop jobs based on time.
Use Script Actions to install additional software such as R and Spark or to change the configuration of applications running on an Hadoop cluster.
Customize HDInsight clusters to install additional components using custom scripts.
This tutorial shows you how to install Giraph on an HDInsight cluster using Script Action customization while it's being deployed. Giraph enables graph processing, modeling relationships between objects.
This tutorial shows you how to install Solr on an HDInsight cluster using Script Action customization while it's being deployed. Solr enables enterprise-level search capabilities on data managed by Hadoop.
Learn how to build a solution that uses a Storm cluster in HDInsight to process sensor data from Azure Event Hubs, and then displays the processed sensor data as near-real-time information on a web-based dashboard.
Learn how to develop streaming data processing applications with SCP.NET and C# on Storm in HDInsight.
Learn how to use Apache Giraph to find the shortest path between objects using Hadoop on HDInsight. With Giraph, you can gain insights into relationships, such as between friends on social networks (also called a "social graph") or between routers on a large network like the internet.
Keep up to date with improvements and updates in each HDInsight release. Learn about changes you may need to make to your HDInsight configuration, jobs, and so on.
Automatically collect heap dumps for debugging and analysis in your Blob storage account.
Learn how to programmatically enumerate the YARN applications that have completed on a Hadoop cluster and access the application logs.
Learn about errors that can occur when using PowerShell to manage HDInsight and the steps for recovering from them.
Use the Apache Ambari APIs for provisioning, managing, and monitoring Hadoop clusters. Ambari has intuitive operator tools and robust APIs that hide the complexity of Hadoop.
Learn how to use Azure Management Portal to create an HDInsight cluster, and how to open the administrative tools.
Learn how to manage HDInsight clusters using a local Azure PowerShell console.
Learn how to use the Cross-Platform Command-Line Interface to manage HDInsight clusters.
HDInsight clusters are enhanced to provide the reliability and availability required to manage enterprise workloads.
Learn how to provision HDInsight clusters with custom options using Azure Management Portal, PowerShell, the command-line interface, and the HDInsight .NET SDK.
Create an HBase cluster in HDInsight on Azure Virtual Network. Virtual network integration allows applications to communicate with HBase directly, improving performance and security.
Learn how to upload and access data in HDInsight using Azure Storage Explorer, Azure PowerShell, the Hadoop command line, or Sqoop.
Learn how HDInsight works with data that is stored in Azure Blob storage, when to store data in HDFS, and when to store it in Blob storage.
02-12-2014 04 min, 18 sec
Create an HDInsight cluster using the Windows Azure Management portal
03-31-2014 00 min, 00 sec
Leveraging Hadoop 2 in Azure HDInsight
03-31-2014 01 hr, 04 min, 12 sec
Integrating HDInsight with your Azure Apps
06-25-2013 01 hr, 05 min, 07 sec
Make Your Apps Smarter with Azure HDInsight
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