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- 40 hours of Instructor Training Classes
- Lifetime Access to Recorded Sessions
- Real World use cases and Scenarios
- 24/7 Support
- Practical Approach
- Expert & Certified Trainers
Software
- Creation of Amazon Elastic Mapreduce instance.
- Cloudera VM.
Architecture
- Complete overview of system architecture, including data flow and components theory.
- Overview of HDFS, including basic commands to move data in and from HDFS.
- Overview of Mappers and Reducers.
HDFS
- Locating the blocks of data in HDFS.
- Learning to browse the HDFS file system using UI.
Map Reduce Jobs
- Running a map reduce code written in Java.
- Looking at the logs generated by the job.
- Interpreting the output messages printed by a job.
- Monitoring the progress for the hadoop jobs in the UI.
- Interpreting the output of the job
Hive
- Overview of HIVE architecture
- Hive Query Language
- Writing and running Hive queries on Hadoop
PIG
- Pig Architecture
- Pig Latin Language
- Writing and running Pig Latin scripts
- Difference between Pig and Hive.
POC And Lab Exercise
- End-End demonstration of a POC
- Instructions for implementing an exercise.