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Hadoop course Content online training ?? 30 hrs

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Bowenpally, Hyderabad

Course ID: 45579

Bowenpally, Hyderabad

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About the Course

Hadoop course Content online training â?? 30 hrs


 


Understanding Big Data


Introduction


Understanding Big Data


3V (Volume-Variety-Velocity) Characteristics


Structured and Unstructured Data


Application and use cases of Big Data


Limitations of Traditional Large Scale Systems


How a distributed way of computing is superior (cost and scale)


 


Installation/ setup/ configuration


Download and setting the VMware for running the Linux Cent OS or Ubunto


Download Install and configuration of Hadoop 1.0.4


Download Install and configuration of Hive 0.10 stable version


Download Install and configuration of sqoop 1.4.2


Download Install and configuration of oozie


 


Will share the configurations for setting up the Hadoop cluster


 


HDFS (Hadoop Distributed FileSystem)


HDFS Overview and Architecture


Data Replication


Safe Mode


Name Node


Checkpoint Node


Backup Node


Configuration Files


 


HDFS Data Flows


Read


Write


HDFS Commands


File System


Administrative


Advanced HDFS Features


HDFS Federation


HDFS High Availability


 


MapReduce Overview 


Functional Programming Paradigms


Input and Output Formats


Hadoop Data Types


Input Splits


Shuffling


Sorting


Hadoop Streaming 


Combiners


Partitioning


Configuration Files


Compression (Creating a sequence file and compressing the sequence file)


Distributed Cache


JVM Reuse


Standalone Mode


 


MR Algorithm and Data Flow


WordCount


MapReduce Architecture


Legacy MR


Next Generation MapReduce (aka YARN/MRV2)


Difference between Legacy MR and MR2 by programming


 


MR Best Practice and Debugging


Fundamental MR Algorithms (Non-Graph)


Max Temperature


Higher Level Abstractions for MapReduce â?? 1


Pig Introduction


Pig Latin Language Constructs


Pig User Defined Functions


Pig Use Cases


Pig  scripts for data analysis


Higher Level Abstractions for MapReduce â?? 2


Hive - Introduction


Hive QL


Hive User Defined Functions


Hive Use Cases


NOSQL Databases 


NoSQL Concepts


Review of RDBMS


Need for NOSQL


Brewers CAP Theorem


ACID vs BASE


Different Types of NoSQL Databases


Key Value


Columnar


Document


Graph


Columnar Databases


Hadoop Ecosystem


HBase â?? No SQL Database -


SQOOP


OOZIE


 



  • At the end of each session material for the day will be shared and along with few links and other resources for the topics will be shared with the candidates.

  • Exercises on the topic will be given for practice next day will discuss the solution for the same and will move to the next topic.

  • Where ever possible Interview questions and scenario based problems will be shared to the candidates to get the insight of the real time environment.


 



  • At the completion of the course a real time POC (Proof Of Concept) requirement will be given to the candidates for practicing the end to end Hadoop contents.


 


 


Optional:


For the candidate who do not have prior Java (Core Java)  knowledge Five sessions on Java concepts required for writing MapReduce programs will be taken

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About the Trainer

Venkat picture

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Venkat

MS in CS, PGBDA IIT USA

Worked IN UK USA France sweden denmark ET.
Worked on JAVA, AWS and BIGATA ML
Worked for top MNC'S.

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