• views: 333
• date: 7 June 2022
• posted by: voska89

What you'll learn
Fundamentals of ETL
Dimension, Fact and Schema
Architecture of Datastage
Types of Datastage jobs
History of Datastage
Datastage jobs and its Stages
Requirements
Concepts of ETL
Basics of Datawahousing
Description
This CourseВ details onВ knowledge aboutВ IBMВ Datastage Designer and Director Client components. In this course, we have demonstrated each and every step that the developer can follow to create their Own IBM Datastage jobs, Compile themВ and Run them. The videos captures every working action the developer needs to do while accessing different features of each Components.В Any Beginner or Fresher interested in learning IBM Datastage fundamentals can have clear understanding and work on Hands-on situations shared at the end of the session.
This course explains why IBM Datastage is better ETLВ tool in Market and about various Partitioning methods, most commonly used Stages to create Jobs.В This course also explains theВ Fundamentals of Dataware housing concepts. End of this course, the student will have maximum comfort with with Datastage as a Developer. With 15+ years of experience we have broken the sessions as small videos which can be taken during any leisure time available for the Students and Beginners. If any session in the course needs to be elaborated, please leave a comment and I will get back with updated video DEMO explaining those topics in detail. Enroll them and start your Carrier as Datastage ETL Developer. Thank you.
Overview
Section 1: Working with Datastage Designer
Lecture 1 Datastage - Client Components
Lecture 2 Designer - Look & Feel
Lecture 3 Types of Jobs
Lecture 4 Designer Palette
Lecture 5 My First Parallel job
Section 2: Datastage Director
Lecture 6 Datastage Director
Section 3: Theory - ETL & Datastage Partitioning
Lecture 7 What is ETL?
Lecture 8 Dimension, Fact and Schema
Lecture 9 Datastage -Type of Partitioning
Section 4: Designer Palette
Lecture 10 Sequential File & Dataset
Lecture 11 Copy
Lecture 12 Filter
Lecture 13 Sort Stage
Lecture 14 Remove Duplicate Stage
Lecture 15 Aggregator Stage
Lecture 16 Switch Stage
Lecture 17 Column Generator Stage
Lecture 18 Row Generator Stage
Lecture 19 Sample Stage
Lecture 20 Funnel
Lecture 21 Head Stage
Lecture 22 Tail Stage
Lecture 23 Peek Stage
Lecture 24 Transformer Stage
Lecture 25 Join Stage
Lecture 26 Merge Stage
Lecture 27 Lookup Stage
Section 5: Conclusion
Lecture 28 Scenarios to work
Lecture 29 Summary
Software Professionals,College Graduates,Beginners in ETL tools/Datastage
Homepage

https://www.udemy.com/course/easy-working-with-datastage/

   
   
   

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