HADOOP, HIVE, NETEZZA and OLTP databases training

Training Details

offers training and placement programs for individuals looking to build their career in the field of data base development, ware housing, ETL or Big data analytics. We provide training on future database technologies like no sql databases, HADOOP, HIVE, NETEZZA and OLTP databases like Oracle, SQL/PL-SQL, Shell scripting. These technologies are in great demand and in heavy use at big data companies like FaceBook, Yahoo, Google, eBay and now has rapidly growing adoption in leading finance, telco, internet, and other companies globally.

HADOOP is the industry’s leading path to a low-cost massively scalable data infrastructure for Terabytes to Petabytes of data and beyond. It is expected that in coming few years HADOOP would be the choice for 80% of the data solutions and analytics.

This training offers real time experience on coding and programming which enables our candidates to work comfortably and successfully on long term projects. This course also includes preparation for interviews. Our trainers are highly qualified industry experts in these technologies and they manage various real time projects.

Why s

  • Customer oriented practices
  • Yield best out of your investment
  • Work directly with experts
  • Best tech support experience
  • Free demo class for candidates satisfaction
  • Best training from real time industry experts
  • Less expensive compare to HADOOP training from any other organization.
  • Weekday and weekend trainings available
  • Job Oriented and classroom exercise to make sure candidate is learning
  • Interview preparation
  • Post training placement assistance for OPT/CPT/H1B/EAD/GC/Citizen candidates
  • On job support
  • H1B Sponsorship for qualified OPT/CPT Candidates



Course Contents


4 Weeks

Hadoop fundamentals
How HDFS and map-reduce works
Plan Hadoop cluster hardware and software Hadoop cluster deployment
Cluster maintenance
Job scheduling on the cluster
Monitor, troubleshoot, and optimize the cluster
Installing Hive, Sqoop and Pig
Real time project requirements and Solutions
Practical session after each class Interview preparation

Hadoop Developer*

4 Weeks

Hadoop: Basic Contents
Writing a MapReduce Program
Integrating Hadoop Into The Workflow
Delving Deeper Into The Hadoop API
Common MapReduce Algorithms
An Introduction to Hive and Pig
Create tables and manipulate data using Hive
Advanced features of Hive
Where to use Pig
Manipulate data using Pig
Which tool is appropriate in different situations
Practical Development Tips and Techniques
More Advanced MapReduce Programming
Joining Data Sets in MapReduce Jobs
Graph Manipulation In MapReduce
An Introduction to Oozie


3 Weeks

Hadoop fundamentals
How HDFS and map-reduce works
Introduction to Hadoop and Hive
Getting Data Into Hive
Manipulating Data with Hive Partitioning and Bucketing
Advanced Hive
Hive and HBase
Hive Best Practices
Introduction to Pig
Where to use Pig
Pig Architecture
Reading and Writing Data
PigLatin Advanced
PigLatin Debugging
Pig Pig Best Practices
Which tool is appropriate in different situations
Interview Preparation


3 Weeks

Administrator’s Roles and admin tasks
Netezza fundamentals
Installing the Netezza Client Software
Using the Netezza Administration Interfaces
Managing Netezza HA Systems
Managing the Netezza Hardware
Managing the Netezza Server
Managing Event Rules
Establishing Security and Access Control
Loading Data into the Netezza Appliance
Backing Up and Restoring Databases
Displaying Netezza Statistics
Query History Collection and Reporting
Managing Workloads on the Netezza Appliance
Interview Preparation


3 Weeks

Netezza fundamentals
Netezza SQL Introduction
Using the SQL Grammar
Using External Tables
Loading Data into the Netezza
Netezza SQL Analytic Functions
Using National Character Sets Interview Preparation

Oracle Developer(SQL & PL/SQL)

4 Weeks

Oracle fundamentals
SQL Basics and grammar
DDL/DML and TCL Commands
Using SQL*Loader
SQL Explain Plan
SQL Performance Tuning
PL/SQL Introduction
Conditional Structure
Writing Implicit & Explicit Cursors
Exception handling
Stored procedures, functions and triggers
Writing Packages and using existing packages
File data manipulation
Manipulating LOB Data types
Autonomous Transactions
Ref Cursor
User Defined Types and Nested Table
Real time requirements and Solutions
Interview Preparation

Unix/Linux Shell script Developer*

4 Weeks

Unix/Linux fundamentals
Shell script basics and usage
Creating a Shell Script
Executing a Shell Script
Shell Variables
Precedence of Commands
conditional structures
Parameter Substitution
Special Pattern Matching Features
Error handling
Executing sql statement and procedure from shell
Sending mail from shell
Setting up Cron job
Interview Preparation


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