What is Data Stage Differences between Informatica PowerCenter and DataStage Components of DataStage Differences between ETL development process in Informatica and DataStage

Interview Questions Resume preparations Real-time Scenarios examples and solution discussion Assignments

The Syllabus

Curriculum Designed by Experts

Introduction to ETL and DW Concepts

What is Data Warehousing?
Differences between OLTP and Data Warehousing
Why we need two separate solution for real time and warehousing

Data Acquisition :

DATA EXTRACTION

How to extract data from several sources and load into same target table

DATA TRANSFORMATION

How to perform transformation logics on data

DATA LOADING

How to load data into final target table

Data Marts :

Need and usage of data marts and types of data marts

Dependent DM

Independent DM

Data Warehousing Life Cycle

Types of Tables :

Fact Table
Dimension table

Schemas :

Star Schema
Snowflake Schema
Fact Constellation Schema

SCD (Slowly Changing Dimensions) :

Different types of SCD’s which developer develops and a tester has to test as per different types of data needs of clients

We implement SCD-1 and SCD-2 in class to show the implementation part more transparently and explain SCD-3 to define how to work on limited historical data as well which is used sometimes

Types :

TYPE1 SCD
TYPE2 SCD
TYPE3 SCD

ETL Tool Implementation and Testing Concepts

Basic Concepts In Sql (Select, Update, Insert and Delete) :

How to design frequently used testing queries to validate the data in source and target for both of the reasons Data Quality and Correctness to ensure that expected data came into the final and mediator target tables or not.

Overview of Etl Tool Architecture :

How ETL tool works and what is the basic need of ETL tools in the market,
What are the similarities between ETL tools and SQL
Why we use ETL Tools if SQL is the only standard which any Database or Data Warehouse can use
How ETL Tools work at back end
Different ETL Tools in the market
What types of tasks tester performs on ETL for testing purpose
Informatica PowerCenter (Leading tool in the market)

Coding and testing process in different transformation rules

SAMPLE Loading from source to target
SORTER Transformation
FILTER Transformation
EXPRESSION Transformation
JOINER Transformation
UNION Transformation
AGGREAGATOR Transformation
SEQUENCE GENERATOR Transformation
SQL Transformation

We provide this practice as additional benefit to you so that you can implement jobs by yourself to understand that what developers do in real time which you have to test.

Testing Techniques in ETL

MINUS Query
COUNT Query
UNION Query
JOIN Query

Informatica PowerCenter

How developers work on PowerCenter
Different components of PowerCenter
Tasks developed in different components

Data Stage

What is Data Stage
Differences between Informatica PowerCenter and DataStage
Components of DataStage
Differences between ETL development process in Informatica and DataStage

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Interview Questions
Resume preparations
Real-time Scenarios examples and solution discussion
Assignments

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