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Big Data and Hadoop
1. What is
Big Data?
2. 5 Vs of
Big Data
3. Big Data
Architecture, Technologies, Challenge and Big Data Requirements
4. Big Data
Distributed Computing and Complexity
5. Hadoop
6. Map
Reduce Framework
7. Hadoop
Ecosystem
Big Data and Hadoop Introduction
1. What is
Big Data and Hadoop?
2. Challenges
of Big Data
3. Traditional
approach Vs Hadoop
4. Hadoop
Architecture
5. Distributed
Model
6. Block
structure File System
7. Technologies
supporting Big Data
8. Replication
9. Fault
Tolerance
10. Why
Hadoop?
11. Hadoop
Eco-System
12. Use cases
of Hadoop
13. Fundamental
Design Principles of Hadoop
14. Comparison
of Hadoop Vs RDBMS
Understand Hadoop Cluster Architecture
1. Hadoop
Cluster and Architecture
2. 5 Daemons
3. Hands-On
Exercise
4. Typical
Workflow
5. Hands-On
Exercise
6. Writing
Files to HDFS
7. Hands-On
Exercise
8. Reading
Files from HDFS
9. Hands-On
Exercise
10. Rack
Awareness
11. Before Map
Reduce
Map Reduce Concepts
1. Map
Reduce Concepts
2. What is
Map Reduce?
3. Why Map
Reduce?
4. Map
Reduce in real world and Map Reduce Flow
5. What is
Mapper, Reducer, and Shuffling?
6. Word
Count Problem
7. Hands-On
Exercise
8. Distributed
Word Count Flow and Solution
9. Log
Processing and Map Reduce
10. Hands-On
Exercise
Advanced Map Reduce Concepts
1. What is
Combiner?
2. What is
Partitioner?
3. What is
Counter?
4. InputFormats/Output
Formats
5. Map Join
using MR
6. Reduce
Join using MR
7. MR
Distributed Cache
8. Using
sequence files & images with MR
9. Planning
for Cluster & Hadoop 2.0 Yarn
10. Configuration
of Hadoop
11. Choosing
Right Hadoop Hardware and Software?
12. Hadoop Log
Files?
Hadoop 2.0 and YARN
1. Hadoop
1.0 Challenges
2. NN
Scalability, SPOF, and HA
3. Job
Tracker Challenges
4. Hadoop
2.0 New Features
5. Hadoop
2.0 Cluster Architecture & Federation
6. Hadoop
2.0 HA
7. Yarn
& Hadoop Ecosystem
8. Yarn MR
Application Flow
PIG
1. Introduction
to Pig
2. What Is
Pig?
3. Pigâ??s
Features & Pig Use Cases
4. Interacting
with Pig
5. Basic
Data Analysis with Pig
6. Pig Latin
Syntax
7. Loading
Data
8. Simple
Data Types
9. Field
Definitions
10. Data
Output
11. Viewing
the Schema
12. Filtering
and Sorting Data
13. Commonly-Used
Functions
14. Pig for
ETL Processing
15. Processing
Complex Data with Pig
16. Storage
Formats
17. Complex/Nested
Data Types
18. Hands-On
Exercise
19. Grouping
20. Built-in
Functions for Complex Data
21. Iterating
Grouped Data
22. Multi-Dataset
Operations with Pig
23. Techniques
for Combining Data Sets
24. Joining
Data Sets in Pig
25. Splitting
Data Sets
HIVE
1. Hive
Fundamentals and Architecture
2. Loading
and Querying Data in Hive
3. Hive
Architecture and Installation
4. Comparison
with Traditional Database
5. HiveQL:
Data Types, Operators and Functions
6. Hive
Tables, Managed Tables and External Tables
Hadoop Developer Training Outline
Introduction to
Hadoop
o Hadoop
Distributed File System
o Hadoop
Architecture
o MapReduce
& HDFS Hadoop Eco Systems
o Introduction
to Pig
o Introduction
to Hive
o Introduction
to HBase
o Other eco
system Map Hadoop Developer
o Moving
the Data into Hadoop
o Moving
The Data out from Hadoop
o Reading
and Writing the files in HDFS using java program
o The
Hadoop Java API for MapReduce o Mapper Class o Reducer Class o Driver Class
o Writing
Basic MapReduce Program In java
o Understanding
the MapReduce Internal Components
o Hbase
MapReduce Program
o Hive
Overview
o Working
with Hive
o Pig
Overview
o Working
with Pig
o Sqoop
Overview
o Moving
the Data from RDBMS to Hadoop
o Moving
the Data from RDBMS to Hbase
o Moving
the Data from RDBMS to Hive
o Flume
Overview
o Moving
The Data from Web server Into Hadoop
o Real Time
Example in Hadoop
o Apache
Log viewer Analysis
Hadoop Admin Training
Outline
o Big Data
Overview
o Introduction
In Hadoop and Hadoop Related Eco System.
o Choosing
Hardware For Hadoop Cluster nodes
o Apache
Hadoop Installation o Standalone Mode o Pseudo Distributed Mode o Fully
Distributed Mode
o Installing
Hadoop Eco System and Integrate With Hadoop
o Zookeeper
Installation o Hbase Installation o Hive Installation o Pig Installation o
Sqoop Installation o Installing Mahout
o Horton
Works Installation
o Cloudera
Installation
o Hadoop
Commands usage
o Import
the data in HDFS
o Sample
Hadoop Examples (Word count program and Population problem)
o Monitoring
The Hadoop Cluster o Monitoring Hadoop Cluster with Ganglia o Monitoring Hadoop
Cluster with Nagios o Monitoring Hadoop Cluster with JMX
o Hadoop
Configuration management Tool
o Hadoop
Benchmarking
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