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 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
- Ab Initio
- IBM Data stage
Power Center Components
- Repository Manager
- Workflow Manager
- Workflow Monitor
- Power Center Admin Console
Informatica Concepts and Overview
- Working with relational Sources
- Working with Flat Files
- Working with Relational Targets
- Working with Flat file Targets
Transformations – Active and Passive Transformations
Lookup –Different types of lookup Caches
- Sequence Generator
- Source Qualifer
- Update Strategy
- Stored Procedure
Slowly Changing Dimension
- SCD Type1
- SCD Type2 — Date, Flag and Version
- SCD Type3
- Creating Reusable tasks
- Workflows, Worklets & Sessions
- 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.
Full Course Content : Download Here
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