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BIG DATA & HADOOP
Duration: 35 hours
Introduction of Big Data and Hadoop
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Understand what is Big Data
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What is Hadoop
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Hadoop Eco-System Components
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Introduction to HDFS
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HDFS Anatomy
Playing around with cluster (Hadoop Cluster)
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See the concepts working
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Writing into HDFS
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Adding a Datanode
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Removing a Datanode
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Balancing
Map-Reduce Basics and implementation
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Map Reduce Concepts
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Mapper
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Reducer
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Driver
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Input Split
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Record Reader
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Overview of Input File Formats
PIG (analytics using Pig)
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What Is Pig?
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Why Is It Important?
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Why Should I Go For Pig When There Is MR?
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What is Pig Latin?
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Where I Should Use Pig?
HIVE (Understanding and analytics on HIVE)
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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)
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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)
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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)
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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
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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
www.MonsterCourses.com
+1(772) 777-1557