Working with Spark Using HDInsight & Cluster Management
Apache Hadoop 2.7
| Intermediate
- 12 videos | 55m 12s
- Includes Assessment
- Earns a Badge
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
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Specify the essential capabilities of spark and its essential architectural componentsList the data structures along with the rdd and lineage concepts that are used in sparkSet up spark clusters using powershell and azure resource manager templateDescribe the relationship between spark sql and hiveSpecify the essential concepts of spark sql and dataframeDemonstrate the approach of customizing hdinsight clusters using bootstrap
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Install hadoop applications on azure hdinsightIllustrate the usage of ambari as a tool in order to manage clustersManage hadoop clusters in hdinsight using azure cliSpecify the approach of troubleshooting and tuning hdinsight clustersMonitor hadoop clusters in hdinsight to collect metrics for analysisSet up spark clusters and manage the clusters using ambari gui
IN THIS COURSE
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6m 11s
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5m 47s
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3m 52s
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3m 29s
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4m 8s
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4m 42s
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3m 13s
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6m 26s
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3m 11s
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3m 20s
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6m 30s
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4m 26s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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