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Course Features
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Language: English
access_time
40 hours
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Study Level: Intermediate
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Certificate of Completion

Data analyst with Hadoop Course Content

Aims on teaching the basics of Data Intensive Computing using Hadoop Toolkit. At the end of this bigdata course you will hopefully have an overview and hands-on experience about Map-Reduce computing pattern, its Hadoop implementation,Hadoop file system (HDFS) and some higher level tools built on top of these, like data processing language”Pig”.

Here’s designed hadoop course curriculum

  • Hadoop Basics
  • HDFS(Hadoop Distributed File System)
  • Programming Practices & Performance Tuning
  • Hadoop Administration
  • Hadoop Development
  • Performing several Hadoop jobs
  • Processing the log files using Map Reduce
  • Debugging MapReduce Programs
  • Advanced MapReduce Programming
  • Monitoring and debugging on a Production Cluster
  • Tuning for Performance in MapReduce
  • CDH4 Enhancements
  • Hadoop Analyst
  • PIG
  • Impala
  • NOSQL
  • HBase
  • Other EcoSystem Components –Sqoop
  • Oozie
  • Flume, Chukwa, Avro, Scribe, Thrift
  • Hadoop Challenges

Adding to this TekSlate also provides Hadoop Administration Training, below is the course content

  • Hadoop Cluster Administration
  • Hadoop Architecture and Cluster setup
  • Hadoop Cluster: Planning and Managing
  • Backup, Recovery and Maintenance
  • Hadoop 2.0 and High Availability
  • Configuring MapReduce, Capacity Scheduler, HDFS
  • Advanced Topics: QJM, HDFS Federation and Security
  • Oozie, Pig Configuration and Examples
  • Hive, HBase Administration
  • Cloudera Setup and Performance Tuning
  • Ganglia
  • Ambari

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