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Hadoop training institute Noida {Delhi NCR}
1.
2. The BigData
Data! Data! BigData!
Data Economy
Data Analytics
Data Science
Traditional Data Processing Technologies
Apache Hadoop Architecture and Ecosystem
Hadoop Background
Hadoop Architecture
Hadoop and RDBMS
Hadoop Subprojects
Hadoop Distributions
Hadoop Documentation
Introduction to Hadoop
Introduction to Big Data
Hadoop Ecosystem - Concepts
Hadoop Map Reduce Concepts and Features
Setting up Hadoop
Installing Hadoop
Configuring Hadoop
Starting Hadoop
Running Hadoop Clients
Browsing Hadoop UI Consoles
How Hadoop can solve problem associated with traditional large
scale system
Other Open Source Software related to Hadoop
IN depth Knowledge on how Big Data Solutions work on Cloud
How to create your own Hadoop Cluster
Understand the main Hadoop Components
Setup Hadoop
Pseudo Mode
Cluster Mode
Ipv6
Installation of Java , Hadoop
Configuration of Hadoop
Hadoop Processes
Name Node , Secondary Name
Node
Job Tracker , Task Tracker
3. Data Node
HDFS - Hadoop Distributed File System
Learn How HDFS Works
HDFS Design and Architecture
HDFS Concepts
Interacting HDFS using command Line
Interacting HDFS using Java APIs
Dataflow
Blocks
Replica
List Data Access patterns for which HDFS is Designed
Learn how data is stored in HDFC Cluster
Learn HDFC Commands
LINUX Basics , Installation and Commands
HDFS Architecture
Hadoop 1.0 HDFS Architecture
Hadoop 1.0 HDFS Architectural Capabilities - – Performance, Scalability,
Availability, Installability, Comnfigurability, Operability, Usability, Security
Hadoop 2.0 HDFS Architecture
MapReduce Architecture
Hadoop 1.0 MapReduce Architecture
Hadoop 1.0 MapReduce Architectural Capabilities – Performance,
Scalability, Availability, Installability, Comnfigurability, Operability,
Usability, Programmability
Hadoop 2.0 MapReduce Architecture
MapReduce Programming Basics
MapReduce Programming Concepts – Map Phase and Reduce Phase
MapReduce API – Key Java Classes and their Hierarchy
Steps to Write a MapReduce Program
MapReduce Programming Intermediate
Setting Mapper Counts and Reducer Counts
MapReduce Configuration
Combiners
Partitioners
Speculative Execution
Task JVM Reuse
Compression
Understands the concepts of map and reduce operations
Developing Map reduce Applications
Describes how Hadoop execute a MapReduce Job
Phases in Map reduce Framework
Map reduce Input and Output Formats
4. Advanced Concepts
Sample Application
Combiner
Joining Datasets in Map reduce Jobs
Map - Side Join
Reduce - Side Join
Map reduce customization
Custom Input Format class
Hash Partitioner
Custom Partitioner
Sorting Technique
Custom Output Format class
Writing a Map reduce programe
The Map reduce Flow
Examining a sample Map reduce programe
Basic Map reduce API concepts
The Mapper
The Reducer
Querying Data using Hive
Hive Background
Hive Architecture
Downloading, Installing and Configuring Hive
Simple Hive Example
Loading Data into Hive
Hive Query Statements
Hive Schema Violations
Using Built-in Hive Functions
Partitioning Data using Hive
Joining Data
Querying Data using Pig
An overview of Pig, Hive and JAQL
Pig Background
Architecture
Downloading, Installing and Configuring Pig
Running Pig
Pig Latin Language Basics
Core Relational Operators – DISTINCT, FILTER, SPLIT, ORDER BY, LIMIT,
GROUP, FOREACH
Built-in Functions
5. Relational Join Operators
Debug Operators
Working with Hive
Working with JAQL
Working with Pig
Real-time Database using HBase
HBase Overview
Data Model
Architecture
Downloading, Installing and Configuring HBase
HBase Shell
HBase Java API for CRUD Operations
Hive and JAQL Transcript
Querying Data with Pig , Hive and JAQL
Understand how to transfer data into Hadoop using Flume
Flume
Introduction to Flume
Introduction to Flume Transcript
Working with Flume
Flume mode of operation and configuration
Sqoop
Introduction to Sqoop
Import Data
Export Data
Sqoop Syntax
Databases connection
Hands on Exercise
Introduction to Flume
Configuration and Setup
Flume sink with example
Channel
Flume source with example
Complex Flume Architecture
Advance Hadoop Concepts
IMPALA Concepts
HUE Concepts
OOZIE Concepts
6. Miracle Corporate Solutions Pvt Ltd,
B-12, Sec 2 Noida – 201301
Mind Direct FZ LLC
G06, Block 2B, Dubai Knowledge Village
Dubai, UAE
Postal Code: 502973
USA
177, Addis Dr.
Churchville PA 18966.
Email :
anupamindia777@gmail.com
Website : www.miracleindia.com