ETL Testing Certification Training
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Learners : 1080
About Course
Our ETL Testing Course is an Extract, Transform, and Load (ETL) integration process that combines data from several platforms into a single data storage unit that can then be loaded in data warehouses. The “Extraction of data from different applications” that is created & maintained by separate vendors, managed & controlled by different people, and hosted on different technologies, is what ETL essentially refers to. We cover all the essential ETL principles in our thorough training, including joining and deduplicating data, filtering and sorting data based on certain properties, transposing data, performing business calculations, etc. Enrol today to earn your certification.
ETL Testing Training Course Syllabus
✔ Why Data Warehouse
✔ What is Data Warehouse?
✔ OLTP VS OLAP
✔ Data Warehouse Architecture
✔ Importance of Staging
✔ Dimension Modeling
✔ Type of dimensions
✔ FACTS
✔ Schemas
✔ Star
✔ Snowflake
✔ Galaxy
✔ Surrogate Keys
✔ DDL
✔ DML
✔ Joins
✔ WHERE, Group By, Having
✔ Operators
✔ Except, UNION, UNION ALL
✔ Rank, Row_Number functions
✔ String functions
✔ Date functions
✔ Practices queries on SQL SERVER 2008 R2
✔ QA roles and responsibilities in ETL Testing
✔ What is mapping document (Transformation, cleansing, etc…)
✔ Data flow from source to staging to target
✔ Test Scenarios
✔ Test Cases writing
✔ Source to stage
✔ Stage to target
✔ Test Execution
✔ Initial and Incremental load testing
✔ Level of Testing
✔ Functional Testing
✔ ETL jobs/scheduled testing
✔ Defects in ETL
✔ Practice on UNIX commands using CYGWIN tool
✔ Import flat file to database table in Oracle/Teradata/SQL Server
✔ Instruction document on running and monitoring workflows/jobs in SSIS/Informatica
✔ Samples in SSIS tool
| Live Instructor Based Training With Software |
| Lifetime access and 24×7 support |
| Certification Oriented content |
| Hands-On complete Real-time training |
| Get a certificate on course completion |
| Flexible Schedules |
| Live Recorded Videos Access |
| Study Material Provided |
ETL Testing Training - Upcoming Batches
7th NOV 2022
8 AM IST
Coming Soon
AM IST
5th NOV 2022
8 AM IST
Coming Soon
AM IST
Don't find suitable time ?
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
ETL Testing Training FAQ'S
Extraction, Transformation, and Loading are referred to as ETL. In Data Warehousing systems, it is a crucial idea. The Data Integration Process consists of three fundamental components. Extraction refers to the process of removing data from various data sources, such as applications or transactional systems. Data is transformed when conversion rules are applied to make it appropriate for analytical reporting. Moving the data into the target system, or Data Warehouse, is part of the loading process.
Extraction
Extracted the data from an external source and move it to the data Warehouse pre-processor database.
Transformation
Transform data task allows point-to-point generating, modifying, and transforming the data.
Loading
In this task, the data is added to the database table in a warehouse.
The three layers in the ETL are:
- Staging Layer: Staging layer is used to store the data which is extracted from the different data source systems.
- Data Integration Layer: Integration layer transforms the data from the staging layer and moves the data to a database. In the database, the data is arranged into hierarchical groups, which is often called dimension, and into facts and aggregation facts. The combination of facts and dimension table in a data warehouse system is called a schema.
- Access Layer: Access layer is used by the end-users to retrieve the data for analytical reporting.
Business Intelligence is the process for collecting raw business data and transforming it into a meaningful vision that is more useful for business.
The popular ETL tools available in the market are:
- IBM- Websphere DataStage
- Informatica- Power Center
- SAP- Business objects data service BODS
- SAS – Data Integration Studio
- Oracle- Warehouse Builder
- Open source Clover ETL.
Get ahead in your career by learning ETL Testing through VISWA Online Trainings
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