ETL Testing
ETL testing is done before data is moved to production data warehouse systems. It is also called as table balancing or product reconciliation. ETL testing is different from Database testing in terms of its scope and the steps followed during this testing.
ETL tools extract the data from all the different data sources, transforms the data and (after applying joining fields, calculations, removing incorrect data fields etc.) and loads it into a data warehouse.
About Project
ETL Testing Training helps you to learn a step-by-step process that includes ETL Testing introduction, difference between OLAP and OLTP, RDBM, learning data warehousing concepts, its workflow, difference between data warehouse testing and database testing, deploying SQL for checking data and the basis for Business Intelligence.
As a part of ETL Testing Training, you will be exposed to real-life industry scenarios which give you in-depth understanding of Data warehousing and concepts of business intelligence. ETL testing course will help you to become a successful ETL Testing expert.
creating an excellent learning experience for users that can be both affordable and easily accessible. We are focused to make software testing concepts much more easier to the audience and produce expert software, test professionals.
Success Feature
- High-Standard Training
- Top Technical Instructor
- Broad Course Curriculum
- 100% Placement Support
- Superb Satisfaction Result
- Internship on Real-Time Project
- 3I– Individual Focus, Innovative & Interactive
Target Student
- Web Developers
- Frontend Developers
- Aspiring Developers
- UI/UX Designers
- Tech Enthusiasts and Career Changers
Course content
Module 1 : Introduction to ETL &ETL tool
- How ETL Tester Works?
- Pre requisites for ETL Testing.
- What can be Data Sources?
- Different ETL Tools available.
- Data Ware House Solution.
- What is ETL Process?
Module 2 : Concept of BI &BA ,database vs DWH
- How Data WareHouse can be used?
- Database vs. Data WareHouse
- Different Reporting Tools available.
- Business Intelligence vs. Business Analytics.
- Reporting in BI.
- Etl as part of BI.
- Business Intelligence(BI).
Module 3:SQL Installation and ETL Command
- DCL commands: Grant, Revoke
- Installation of Oracle
- TCL Begin, Commit, Rollback
- DML commands:Select,Insert, Update, Delete and Merge
- DDL commands:Create, Alter, Rename and Drop
- Northwind Sample Database
- Sql Server Installation,sql management studio install
- File v/s Database
Jordan Reynolds
Instructor
Lead – Full Stack |JS Node ES6 | React & Redux | Angular | TS | Java 8,11,17 | Junit 4 & 5 | Spring Boot | JPA | Hibernate | Microservice | OpenShift | K8s | ELK | Docker |AWS |CI/CD| AGILE|A
Lesson of learning
- Testing Techniques: You’ll explore various testing methodologies such as black-box testing, white-box testing, and grey-box testing to understand how to efficiently assess software functionality and performance.
- Test Planning and Documentation: Learn to develop comprehensive test plans, test cases, and test scripts to ensure systematic testing coverage and efficient bug tracking throughout the software development lifecycle.
- Automation Tools and Frameworks: Gain proficiency in using automation tools like Selenium, Appium, and JUnit to automate repetitive testing tasks, increase testing efficiency, and facilitate continuous integration and delivery processes.
- Defect Management and Reporting: Understand how to identify, prioritize, and report software defects effectively using bug tracking systems like JIRA or Bugzilla, ensuring clear communication between developers and testers for timely resolution.
- Testing in Agile and DevOps Environments: Explore the role of testing in Agile and DevOps methodologies, focusing on rapid iterations, continuous testing, and collaboration between development and operations teams to deliver high-quality software products efficiently.
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- SQL
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