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Hadoop Developer Training

Vi INFOTECH is one of the top quality Hadoop Developer training institutes in Bangalore with highly experienced and skilled trainers. Vi INFOTECH Bangalore also offers placement assistance for students who enrolled in Hadoop Development Training Course. We offer Bigdata, Hadoop training

Hadoop Developer Training Institute

Become an Expert in Hadoop Developer Programme with Vi INFOTECH Hadoop Developer programme. Main highlights of our Hadoop Developer Programme, Hadoop, spark, scala Training in Bangalore (BTM Layout) include Intensive Practical Training, Advanced Learning Materials & Tools, Friendly Classrooms etc

hadoop development training in btm bangalore india

BigData, Hadoop Course

What you'll learn

BigData, Hadoop

BigData, Hadoop Course Reviews

The course is practical oriented. Good place for learning.

BigData, Hadoop Course Content

Introduction to BigData, Hadoop

Big Data Introduction
Hadoop Introduction
What is Hadoop? Why Hadoop?
Hadoop History?
Different types of Components in Hadoop?
HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
What is the scope of Hadoop?
History of UNIX and LINUX
Basic concepts of Operating System, Kernel, Shell & File System structure
Basic concepts of Linux
Differences between CentOS, Red Hat Enterprise Linux & Fedora

Deep Drive in HDFS (for Storing the Data)

Introduction of HDFS
HDFS Design
HDFS role in Hadoop
Features of HDFS
Daemons of Hadoop and its functionality
Name Node
Secondary Name Node
Job Tracker
Data Node
Task Tracker
Anatomy of File Wright
Anatomy of File Read
Network Topology
Nodes
Racks
Data Center
Parallel Copying using DistCp
Basic Configuration for HDFS
Data Organization
Blocks and
Replication
Rack Awareness
Heartbeat Signal
How to Store the Data into HDFS
How to Read the Data from HDFS
Accessing HDFS (Introduction of Basic UNIX commands)
CLI commands

MapReduce using Java (Processing the Data)

The introduction of MapReduce
MapReduce Architecture
Data flow in MapReduce
Splits
Mapper
Portioning
Sort and shuffle
Combiner
Reducer
Understand Difference Between Block and InputSplit
Role of RecordReader
Basic Configuration of MapReduce
MapReduce life cycle
Driver Code
Mapper
and Reducer
How MapReduce Works
Writing and Executing the Basic MapReduce Program using Java
Submission & Initialization of MapReduce Job
File Input/Output Formats in MapReduce Jobs
Text Input Format
Key Value Input Format
Sequence File Input Format
NLine Input Format
Joins
Map-side Joins
Reducer-side Joins
Word Count Example
Partition MapReduce Program
Side Data Distribution
Distributed Cache (with Program)
Counters (with Program)
Types of Counters
Task Counters
Job Counters
User Defined Counters
Propagation of Counters
Job Scheduling

PIG

Introduction to Apache PIG
Introduction to PIG Data Flow Engine
MapReduce vs. PIG in detail
When should PIG use?
Data Types in PIG
Basic PIG programming
Modes of Execution in PIG
Local Mode and
MapReduce Mode
Execution Mechanisms
Grunt Shell
Script
Embedded
Operators/Transformations in PIG
PIG UDF’s with Program
Word Count Example in PIG
The difference between the MapReduce and PIG

SQOOP

Introduction to SQOOP
Use of SQOOP
Connect to mySql database
SQOOP commands
Import
Export
Eval
Codegen etc…
Joins in SQOOP
Export to MySQL
Export to HBase

HIVE

Introduction to HIVE
HIVE Meta Store
HIVE Architecture
Tables in HIVE
Managed Tables
External Tables
Hive Data Types
Primitive Types
Complex Types
Partition
Joins in HIVE
HIVE UDF’s and UADF’s with Programs
Word Count Example

HBASE

Introduction to HBASE
Basic Configurations of HBASE
Fundamentals of HBase
What is NoSQL?
HBase Data Model
Table and Row
Column Family and Column Qualifier
Cell and its Versioning
Categories of NoSQL Data Bases
Key-Value Database
Document Database
Column Family Database
HBASE Architecture
HMaster
Region Servers
Regions
MemStore
Store
SQL vs. NOSQL
How HBASE is differed from RDBMS
HDFS vs. HBase
Client-side buffering or bulk uploads
HBase Designing Tables
HBase Operations
Get
Scan
Put
Delete

Cluster Setup

Downloading and installing the Ubuntu12.x
Installing Java
Installing Hadoop
Creating Cluster
Increasing Decreasing the Cluster size
Monitoring the Cluster Health
Starting and Stopping the Nodes

Zookeeper

Introduction Zookeeper
Data Modal
Operations

OOZIE

Introduction to OOZIE
Use of OOZIE
Where to use?

Flume

Introduction to Flume
Uses of Flume
Flume Architecture
Flume Master
Flume Collectors
Flume Agents

Star Rating

4.9 average based on 54 reviews.

Hadoop Developer Training