Datastage Online Training

Introduction

Datastage Training

IBM DataStage is among the top ETL tools for development and maintenance of Data Warehouses and Data Marts. DataStage provides a complete group of choices to us to create solutions and provides access to the data and reports. It is an ideal resource for information integration projects – for example, data marts, data warehouses, and process migrations also. DataStage it has evolved over years and is indeed powerful. It can fill into any target and may get from any kind of supply, modify/cleanse information with its rich set of transformation capabilities. The change a part of ETL is all about receiving data cleaned, standard, and usually into a format ideal for running into a target. IBM DataStage integrates data on-demand across many systems using extended metadata management, a high-performance parallel framework, and business connectivity.

COURSE SUMMARY

Course NameDatastage Training
Course ContentsBasics of Datastage, Its architecture and layout controls etc.
Course Duration30 Hours with Flexible timings
Course DeliveryInstructor Led-Live Online Training
Course EligibilityAny Graduate
Ideal ForFreshers, aspirants seeking to learn the Datastage ETL Software
AvailabilityRegular/Weekend Batches. 24×7 teaching assistance and support.

Course Objectives

  • Basic Concepts of Data Stage and Administrator
  • Basic steps to deploy an ETL Project.
  • Execute difficult jobs debugging
  • Manage different databases
  • Implement real-time project
Instructor – Led Live Online TrainingEnroll Now
Corporate TrainingContact Us
One to One Online TrainingJoin Free Demo

Course Curriculum

MODULE 1:  OVERVIEW OF THE DATA STAGE

  • Data Warehousing Introduction
  • Data Warehousing (What, Why, For Whom)
  • Data Warehousing Significance
  • Types of Systems (OLTP, DSS, OLAP)
  • Data Warehousing Life Cycle
  • Maintenance of Data Warehouse

MODULE 2:  DATA WAREHOUSING ARCHITECTURE

  • Source
  • Staging Area
  • Integration Layer
  • Target
  • Data Stage Introduction
  • Analysis & Reporting
  • IBM Information Server architecture
  • Server Jobs and Parallel Jobs
  • Pipeline and Partition Parallelism
  • Configuration file
  • Partition techniques
  • SMP/MPP Architecture
  • Package installer
  • Data stage components

MODULE 3:  USING CONTROLS

  • Layouts
  • Project and Sandbox
  • Phase and Checkpoint
  • Subgraphs
  • Continuous Flows
  • Deadlocks
  • Interpreting the Log File
  • Wrapper Scripts
  • Monitoring the Graph
  • EME
  • Shop For Data (SFD)
  • Conduct>It
  • Data Profiler
Download Material

Write Review

Nice content and good topics

★★★★★
5 5 1
I aimed to become a PRO in data science and I was enquiring about the best online training institute for data science where I can master it. I heard about IQ Online and joined at IQ after going through the reviews. The trainer was holding 8+ years of experience in data science and explained each and every topic in a clear way. Very happy with training.

Great tutorial and competitive price

★★★★★
5 5 1
I had an Expert level course with IQ ONLINE TRAININGS and was so great in the content and its price so competitive. I recommend everyone want to have online courses visit IQ ONLINE TRAININGS and buy a course with them. Great Job IQ ONLINE TRAININGS and Continue provide this good courses

IQ Online trainings.com

★★★★☆
4 5 1
It has always been a delightful experience with IQ ONLINE TRAININGS.com. Be it an online assistance or guidance, they are amazing in providing you the solution. My course time duration expired and I took assistance via online chat. Rani was prompt and understood the issue I was facing. Hence provided me the grace of 30 days for preparation of the course. I also assisted me to book my exam dates. Well that what I call excellent customer service

most practical course

★★★★☆
4 5 1
Best institute to join for Data Science Course. Trainer teaches each concept in more practical way.

Good training

★★★★☆
4 5 1
Good Training and followup

More reviews...

Summary
Review Date
Reviewed Item
Datastage Online Training
Author Rating
5
Please follow and like us:

Testimonials

Write a Review

No review posted.