Hadoop Online Training.pdf

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Content

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BIG DATA & HADOOP
Duration: 35 hours

Introduction of Big Data and Hadoop


Understand what is Big Data



What is Hadoop



Hadoop Eco-System Components



Introduction to HDFS



HDFS Anatomy

Playing around with cluster (Hadoop Cluster)


See the concepts working



Writing into HDFS



Adding a Datanode



Removing a Datanode



Balancing

Map-Reduce Basics and implementation


Map Reduce Concepts



Mapper



Reducer



Driver



Input Split



Record Reader



Overview of Input File Formats

PIG (analytics using Pig)


What Is Pig?



Why Is It Important?



Why Should I Go For Pig When There Is MR?



What is Pig Latin?



Where I Should Use Pig?

HIVE (Understanding and analytics on HIVE)




What is Hive?
HIVE Architecture.
Hive Components

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Complex Types
Abilities of HIVE Query Language
Configuring Hive
Partitions and Buckets
Hive Data Models

Hbase (database technique and loading the data)







Problems in the real world
Traditional RDBMS fallacies
The advent of HBase
HBase Architecture
Hands-on creation, updation of HBase table on shell
Multiple ways of loading data into HBase (Shell, Jvm-Client, MapReduce, Avro,
Thrift, REST Api)

Zookeeper (Highly available Management)









What Is A ZooKeeper?
Working Model
Distribute Coordination System
Coordination Service
Zookeeper Data Model
Zookeeper Service
ZooKeeperAPI
HOD with ZooKeeper

Sqoop (Real world datasets and analysis)








What is Sqoop?
Why Sqoop?
Importing and exporting data using Sqoop
Provisioning Hive Metastore
Populating HBasetables
Sqoop Connectors
What are the features of Sqoop?

Online Support






Call to our technical team
Drop your queries by mail
Skype session to sort out the queries

TWITTER DATA ANALYSIS PROJECT

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USA: +1 772 777 1557

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