Splunk Education’s learning path for power users takes you from investigative keyword searches to creating rich reports and visualizations to becoming a Splunk search ninja! Splunk Education’s learning path for power users takes you from investigative keyword searches to creating rich reports and visualizations to becoming a Splunk search ninja!
About Big Data Hadoop and Spark Developer
Course Content
- Introduction to linux and big data virtual machine ( vm)
- Understanding big data
- Hdfs (the hadoop distributed file system)
- How hdfs addresses fault tolerance?
- Hdfs interfaces
- Advanced hdfs features
- Map reduce – 1 (theoretical concepts)
- Mapreduce architecture
- Mr algorithm and data flow
- Alternatives to mr – bsp (bulk synchronous parallel)
- Map reduce – 2 (practice) developing, debugging and deploying mr programs
- Writablecom parables
- Optimization techniques
- Mr algorithms (non- graph)
- Mr algorithms (graph)
- Higher level abstractions for mr (pig)
- Higher level abstractions for mr (hive)
- Comparison of pig and hive
- Different types of nosql databases
- Columnar databases concepts nosql databases – 2 (practice)
- Interfaces to hbase (for ddl and dml operations)
- Advance hbase features
- Spark
- Introduction to yarn
- Introduction to oozie
- Introduction to flume
- Introduction to sqoop
- Setting up a hadoop cluster using apache hadoop
- Ssh configuration
- Hadoop ecosystem and use cases
- Proof of concepts and use cases
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