Hadoop and Amazon Web Service-Map Reduce Complete Training course details:
Hadoop Virtual Machine Setup
Configuring Hadoop in Single Cluster.
Loading/UnLoading Data in Distributed HDFS System.
Amazon Map Reduce based Hadoop setup - Multi Cluster Mode.
Process and Metrics Analysis for Hadoop Output.
Apache Pig Installation and script execution.
NOSQL Data setup and Integration with Hadoop.
HiveQL commands and scripts .
HBASE Map Reduce examples.
Many more examples and exercises /assignments
1. Introduction to HADOOP
Distributed computing , cloud computing
Big data Basics and Need for Parallel Processing
How Hadoopworks ?
Introduction to HDFS and Map Reduce
2. Hadoop Architecture Details
Secondary Name Node
3. HDFS ( Hadoop - Distributed File System)
Hadoop Distributed file system , Background, GFS
Additional HDFS commands
4) MapReduce Programming
Writing MapReduce Programs
Writable and WritableComparable
Input Format, Output Format
Input Split and Block size
Number of Mappers and Reducers
5) Hadoop Streaming
How Streaming Works ?
Writing MapReduce programs in other languages
6) Introduction to Amazon Map Reduce (AMR)
MapReduce using Cloud
AWS MapReduce and EC2
Multipl Cluster Deployment using AWS-S3
7) Hadoop Ecosystem and Other Related Projects
8) Hadoop Data Center Deployment
Basic Hadoop data center deployment techniques
Networking challenges in Hadoop Deployment
Disaster Recovery ( DR ) in Hadoop .
9) Hadoop Cluster Administration
Master / Salve Configuration
Small, Medium and Large Cluster considerations
Hadoop Monitoring - GANGLIA ,NAGIOS
9) Hadoop Business Case
Why Hadoop is NOT a Silver Bullet for all your problems.
When to use Hadoop- Business Cases
When NOT to use Hadoop - Business Case
10) Hadoop and Cloud Computing
Using Cloud technologies for distributed processing
Hadoop on Amazon Web Service.
Hadoop in Oracle Cloud / RackSpace
Exam Papers for Cloudera Certified Hadoop Developer/Administrator.
Preparation help and Guidance.
Name : Mr. Satish Kumar
Email id : email@example.com Or firstname.lastname@example.org
Phone number : +91 998 941 6000 ( India), 248 906 1615 ( USA)