ETL Testing Training
Course Duration
Offline / Online Training & Projects & Practical Sessions
Eligibility
Graduates or Diploma Holders
Course Fee
GST will be charged at checkout Flexible Payment Options Available
ETL — Extract/Transform/Load — is a process that extracts data from source systems, transforms the information into a consistent data type, then loads the data into a single depository. ETL testing refers to the process of validating, verifying, and qualifying data while preventing duplicate records and data loss.
Syllabus
- Data WareHousing Concepts
- What is a Data Warehouse?
- Need of Data Warehouse
- Introduction to OLTP, ETL and OLAP Systems and its differences.
- Data Warehouse Architecture
- Data Marts
- ODS [Operational Data Store]
- Dimensional Modelling ? Difference between relation and dimensional modelling
- Star Schema and Snowflake Schema
- What is a 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/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.
- SQL Queries for ETL Testing (Rogersoft)
- Incremental load testing and Initial Load / Full load testing
- Different ETL tools available in the market:- Informatica, Ab Initio, IBM Data stage
- Power Center Components
- Designer
- Repository Manager and Workflow Manager
- Workflow Monitor
- Power Center Admin Console
- Informatica Concepts and 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 Qualifier
- Update Strategy
- Normalizer/ Union
- Stored Procedure
- Slowly Changing Dimension
- SCD Type1, SCD Type2 — Date, Flag and Version, SCD Type3
- Workflow Manager
- 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 ,Reusable transformation
- Migration ?ML migration and Folder Copy.
- Scheduling Workflow
- Parameter and variables
- XML Source, Target and Transformations
- Performance Tuning
- Pipeline Partition/ Dynamic Partition/ Pushdown optimization
- 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.
- Testing scenarios, creation of test cases and scripts
- Test case execution and defect tracking and reporting
- Preparation of Test data
- Practice ETL Testing with Real Time Scenarios and FAQ
- Difference between data warehouse and database
- Defect management
- Defect management tools
- Different stages of ETL testing process
- Entry and Exit criteria for these stages
- Agile projects
- Test data management
- Defect triage meeting
- Stakeholders in ETL testing
- Types of ETL validation
- Types of Report validation
- A case study with an ETL transformation
- Reduce the scope of Informatica and add Ansi SQL because most of the the ETL testing projects are black box testing
- Introduction to big data testing
- Mock Interview at Rogersoft
Athulkrishna Prakash
Software Developer [ MEARN ] | Tamchery Solutions
Mohammad Anees A A
Technical Specialist | Cyber Park
V S Sreedevi
Python Developer | Infotura Solutions
Dhaneesh v jayakumaran
Software Developer | Mdigitz Soft Solutions
ABDUL LATHEEF M M
Software Tester | Growtech Software Private Limited
Sreelakshmi S
Software Tester | KOKONET Technologies
Ardra Sasidharan
Junior Developer | Nav Technologies
Snehapriya ES
Software Testers | KOKONET Technologies
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