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Hadoop Development
Mode of Training: Online, Classroom, Corporate
Faculty: Mr. SRINIVAS
Course Duration: 30 Days
HADOOP DEVELOPMENT
1. Understanding Big Data and Hadoop
Introduction to Big Data & Big Data Challenges
Limitations & Solutions of Big Data Architecture
Hadoop & its Features
Hadoop Ecosystem
Hadoop 2.x Core Components
Hadoop Storage: HDFS (Hadoop Distributed File System)
Hadoop Processing: MapReduce Framework
Different Hadoop Distributions
2. Hadoop Architecture and HDFS
Core components of Hadoop
Understanding Hadoop Master-Slave Architecture
Learn about Name Node, Data Node, Secondary Node
HDFS Architecture
HDFS Blocks
HDFS Replication
Load balancing
Heart beat mechanism
HDFS Write flow
HDFS Read flow
MapReduce Architecture Flow
Job Tracker and Task Tracker
Hadoop 2.x Cluster Architecture
Federation and High Availability Architecture
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Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Single Node Cluster & Multi-Node Cluster set up
3. Hadoop MapReduce Framework
Traditional way vs MapReduce way
Why MapReduce
Overview of the MapReduce Framework
Use cases of MapReduce
4. Apache Pig
Introduction to Apache Pig
MapReduce vs Pig
5. Apache Hive
What is Hive
Hive vs Pig
Hive Architecture & Components
Difference between Hive and RDBMS
Hive Tables (Managed Tables and External Tables)
Hive DDL – Create/Show Database
Hive DDL – Create/Show/Drop Tables
Hive DML – Load Files & Insert Data
Hive SQL – Select, Filter, Join, Group By
Joins
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Hive Partition
Hive Bucketing
Hive Script
Hive UDF
6. Sqoop
Sqoop – How Sqoop works
Sqoop Architecture
Sqoop import
Sqoop export
o Limiting Results
o Improving Sqoop’s Performance
o Sqoop job
6. Oozie
Oozie
Oozie Components
Oozie Workflow
Scheduling Jobs with Oozie Scheduler
Demo of Oozie Workflow
Oozie Coordinator
Oozie Commands
Oozie Web Console
Oozie for MapReduce
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