Working with Spark Using HDInsight & Cluster Management

Apache Hadoop 2.7
  • 12 Videos | 1h 42s
  • Includes Assessment
  • Earns a Badge
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Discover how to work with Spark and its in-memory capabilities of data management. How to manage and troubleshoot HDInsight clusters using Ambari and the Azure CLI tool is also covered.

WHAT YOU WILL LEARN

  • specify the essential capabilities of Spark and its essential architectural components
    list the data structures along with the RDD and lineage concepts that are used in Spark
    set up Spark clusters using PowerShell and Azure Resource Manager template
    describe the relationship between Spark SQL and Hive
    specify the essential concepts of Spark SQL and DataFrame
    demonstrate the approach of customizing HDInsight clusters using bootstrap
  • install Hadoop applications on Azure HDInsight
    illustrate the usage of Ambari as a tool in order to manage clusters
    manage Hadoop clusters in HDInsight using Azure CLI
    specify the approach of troubleshooting and tuning HDInsight clusters
    monitor Hadoop clusters in HDInsight to collect metrics for analysis
    set up Spark clusters and manage the clusters using Ambari GUI

IN THIS COURSE

  • Playable
    1. 
    Spark Introduction
    6m 11s
    UP NEXT
  • Playable
    2. 
    Data Representation in Spark
    5m 47s
  • Locked
    3. 
    Create Spark Clusters Using PowerShell
    3m 52s
  • Locked
    4. 
    Spark SQL and Hive
    3m 29s
  • Locked
    5. 
    Spark SQL Data Sources and DataFrames
    4m 8s
  • Locked
    6. 
    Customizing HDInsight Cluster
    4m 42s
  • Locked
    7. 
    Application Installation on HDInsight
    3m 13s
  • Locked
    8. 
    Ambari User Management
    6m 26s
  • Locked
    9. 
    HDInsight Management Using Azure CLI
    3m 11s
  • Locked
    10. 
    Troubleshooting HDInsight
    3m 20s
  • Locked
    11. 
    Monitoring HDInsight Hadoop
    6m 30s
  • Locked
    12. 
    Exercise: Working with Spark and Ambari
    4m 26s

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