extract transform load(ETL) is extraction of data from different application , hosted in different technology into staging tables.Enroll for etl testing by SME

1. Email: info@globalonlinetrainings.com IND: +91-40-6050-1418
Skype: Global.Onlinetrainings USA: +1-516-8586-242
UK:+44 (0)203 371 0077
www.globalonlinetrainings.com

2. ETL testing authenticates that the Data values after a change are the
predictable Data values from the source. Global Online Training offers competent
professional course on ETL TESTING for professionals looking for building a
rewarding and potential career in data warehousing. The entire project is based on
industry allied course and latest updates on this data warehousing modules. The
course of online ETL TESTING is specifically suitable for on job professionals as all
the classes are arranged in flexi time modules.You can contact for more details on
the online ETL TESTING training from the help desk of Global Online Trainings.
These training courses are available for individuals as well as for corporate batches.

3.  DataWare Housing Concepts:
 What is Data Ware House?
 Difference between OLTP and DataWare Housing
 Data Acquisition
 Data Extraction
 Data Transformation
 Data Loading
 Data Marts
 Dependent Data Mart
 Independent Data Mart
 Data Base Design
 Star Schema
 Snow Flake Schema
 Fact constellation Schema

4.  Overview of ETL Tool Architecture
 White Box and Black BOX Testing
Functionality on Different Transformation
Rules
 Data Ware House Life Cycle
 Different Types of Testing Techniques in ETL
 Minus Queing
 Count Queing

5.  Introduction
 What is use of testing
 What is quality & standards
 Responsibilities of a ETL Tester

6.  Waterfall model
 V-model
 Agile model & methodology
 Prototype model
 Spiral model

7.  White box testing
 Black box testing
 Grey box testing
 ETL Testing Work Flow Process
 How to Prepare the ETL Test Plan
 How to design the Test cases in ETL Testing
 How to reporting the Bugs in ETL Testing ?
 ETL Testing Responsibilities in DataStage,
Informatica, Abinitio etc;
 How to detect the bugs through database queries
 ETL Performing Testing & Performing Tuning

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