Big Data Online Training Course by Experts Best Institute Learn Online Big Data Training
Hadoop Training Material ✓HDFS ✓Map Reduce ✓HIVE ✓HBASE✓SQOOP ✓Flume
✓PIG ✓Live Recording ✓Job Support ✓Placement Assistance
* ✓Real time Scenarios ✓Resume Preparation.
Introduction to Big Data and Hadoop
- What is Big Data
- What is Hadoop
- Why Hadoop
- Hadoop trends
- Technologies supports Big Data
- RDBMS vs. Hadoop
- Ecosystems of Hadoop
- Hardware Recommendations
Hadoop Vs Other Data warehouse tools
- RDBMS
- Informatica
- Teradata
HDFS
- What is HDFS
- Features of HDFS
- Daemons of HDFS
- Name Node
- Data Node
- Secondary Name Node
- Data Storage in HDFS
- Introduction about Blocks
- Data replication
- Accessing HDFS
- CLI (Command Line Interface) and admin commands
- Java API
- Fault tolerance
MapReduce
- What is Map Reduce
- Map Reduce Architecture
- Daemons of MapReduce
- How Map Reduce works
- Working with Map Reduce Programming
- Different formats in Map Reduce
- Data localization
- Performance in Map Reduce program
- Debugging Map Reduce Job
HIVE
- Hive introduction
- Hive architecture
- Hive vs. RDBMS
- HiveQL and the shell
- Different types of HIVE tables
- HIVE User Defined Functions
- HIVE performance techniques
HBASE
- HBase introduction
- Architecture and schema design
- HBase vs. RDBMS
- Architectural components of HBase
- HMaster
- Region Servers
- Regions
- HBase commands
SQOOP
- Introduction
- Sqoop Commands
- Importing data
- Exporting Data
Spoiler title
- Introduction
- Flume commands
- Database connection
- Importing data
PIG
- Introduction to Pig
- Map Reduce Vs. Apache Pig
- Different data types in Pig
- Modes of Execution in Pig
Oozie
- Introduction to Oozie
- Oozie workflow
Zookeeper
- Introduction to Zookeeper
- Features of Zookeeper
Scala
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