ETL Testing Online Training

Extract, Transform & Load is a process in Data Warehousing. ETL refers to, "Extraction of data from different applications" developed & supported by different vendors, managed & operated by different persons hosted on different technologies "into Staging tables-Transform data from staging tables by applying a series of rules or functions - which may include Joining and Deduplication of data, filter and sort the data using specific attributes, Transposing data, make business calculations etc - to derive the data for loading into the destination system-Loading the data into the destination system, usually the data warehouse, which could further be used for business intelligence & reporting purposes.

ETL Testing Online Training :

DWH: Data Ware Housing Concepts

What is Data Warehouse?
Need of Data Warehouse
Introduction to OLTP, ETL and OLAP Systems
Difference between OLTP and OLAP
Data Warehouse Architecture
Data Marts
ODS [Operational Data Store]
Dimensional Modelling
Difference between relation and dimensional modelling
Star Schema and Snowflake Schema
What is fact table
What is Dimension table
Normalization and De-Normalization

ETL Testing

ETL architecture
What is ETL and importance of ETL testing
How DWH ETL Testing is different from the Application Testing SDLC/STLC in the ETL Projects (ex: V Model, Water fall model) Challenges in DWH ETL Testing compare to other testing
Incompatible and duplicate data.
Loss of data during ETL process.
Testers have no privileges to execute ETL jobs by their own.
Volume and complexity of data is very huge.
Fault in business process and procedures.
Trouble acquiring and building test data.

ETL Testing Work flow activities involved

Analyze and interpret business requirements/ workflows to Create estimations
Approve requirements and prepare the Test plan for the system testing
Prepare the test cases with the help of design documents provided by the developer team
Execute system testing and integration testing.
Best practices to Create quality documentations (Test plans, Test Scripts and Test closure summaries)
How to detect the bugs in the ETL testing
How to report the bugs in the ETL testing
How to co-ordinate with developer team for resolving the defects

Types of ETL Testing

Data completeness.
Data transformation.
Data quality.
Performance and scalability.
Integration testing.
User-acceptance testing.

SQL Queries for ETL Testing

Incremental load testing

Initial Load / Full load testing

Different ETL tools available in the market

Informatica
Ab Initio
IBM Data stage

Power Center Components

Designer
Repository Manager
Workflow Manager
Workflow Monitor
Power Center Admin Console

Informatica Concepts and Overview

Informatica Architecture.

Sources
Working with relational Sources
Working with Flat Files

Targets

Working with Relational Targets
Working with Flat file Targets

Transformations – Active and Passive Transformations

Expression

Lookup –Different types of lookup Caches

Sequence Generator
Filter
Joiner
Sorter
Rank
Router
Aggregator
Source Qualifer
Update Strategy
Normalizer
Union
Stored Procedure

Slowly Changing Dimension

SCD Type1
SCD Type2 — Date, Flag and Version
SCD Type3

Workflow Manger

Creating Reusable tasks
Workflows, Worklets & Sessions
Tasks
Session
Decision task
Control Task
Event wait task
Timer task

Monitoring workflows and debugging errors

Indirect Loading
Constraint based load ordering
Target Load plan
Worklet ,Mapplet ,Resuable transformation
Migration ?ML migration and Folder Copy.
Scheduling Workflow
Parameter and variables
XML Source, Target and Transformation
Performance Tuning
Preparation of Test Cases
Executing Test case
Preparing Sample data
Data validation in Source and target
Load and performance testing
Unit testing Procedures.
Error handling procedures.

Resume Preparation & Placement Assistance.

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