The Hadoop course covers hardware and software requirements, installing and configuring Linux, Hadoop, HDFS, MapReduce, Pig, Hive, HBase, and MongoDB. It also covers ETL processes using Pentaho Data Integration to load and transform data between relational databases and Hadoop. The course content includes tutorials on virtual machines, Linux commands, Hadoop processes and architecture, developing MapReduce applications, Pig commands, Hive basics, and connecting data warehouse tools to relational databases and Hadoop.

1. Hadoop Course content
Hardware Requirements :-- Systems must have at least 2gb RAM.
Software Requirements :-- I will provide all softwares (Operating System also).
Contents:--
Virtualbox/VM Ware
a. Basics
b. Installations
c. Backups
d. Snapshots
Linux
a. Basics
b. Installations
c. Commands
Hadoop
a. Why Hadoop?
b. Scaling
c. Distributed Framework
d. Hadoop v/s RDBMS
e. Brief history of hadoop
Setup hadoop
a. Pseudo mode
b. Cluster mode
c. Ipv6
d. Ssh, keygen
e. Installation of java, hadoop

2. f. Configurations of hadoop
g. Hadoop Processes ( NN, SNN, JT, DN, TT)
h. Temporary directory
i. UI
j. Common errors when running hadoop cluster, solutions
HDFS- Hadoop distributed File System
a. HDFS Design and Architecture
b. HDFS Concepts
c. Interacting HDFS using command line
d. Interacting HDFS using Java APIs
e. Dataflow
f. Blocks
g. Replica
Hadoop Processes
a. Name node
b. Secondary name node
c. Job tracker
d. Task tracker
e. Data node
Map Reduce
a. Developing Map Reduce Application
b. Phases in Map Reduce Framework
c. Map Reduce Input and Output Formats
d. Advanced Concepts
e. Sample Applications

3. f. Combiner
g. HAR
Joining datasets in Mapreduce jobs
a. Map-side join
b. Reduce-Side join
Cluster Configuration
Map reduce – customization
a. Custom Input format class
b. Hash Partitioner
c. Custom Partitioner
d. Sorting techniques
e. Custom Output format class
Hadoop Programming Languages :-
PIG
a. Introduction
b. Installation and Configuration
c. Interacting HDFS using PIG
d. Map Reduce Programs through PIG
e. PIG Commands
f. Loading, Filtering, Grouping….
g. Data types, Operators…..
h. Joins, Groups….
i. Sample programs in PIG
Hive

4. a. Basics
b. Installation and Configurations
c. Commands….
NOSQL Databases Concepts
Databases :
HBASE
a. Basics
b. Installation and Configurations
c. Commands
MONGO DB:
a. Basics
b. Installation and Configurations
c. Commands
Specialities :--
ETL tool ( PDI ) ( Data Warehousing BI Tools)
a. Introduction
b. Creating RDBMS database
c. Establishing Connection between PDI to RDMS database
d. Creating data in hadoop
e. Establishing Connection between PDI to Hadoop data
f. Summarization