ETL Testing Training Course from Yuva Sakthi Academy provides the best ETL Testing Training by skilled experts at a cost-effective rate. The ETL Testing training helps the learner to master ETL testing, and its essential concepts like data warehousing, OLTP, Business Intelligence basis, OLAP, deploying SQL for checking information, and more.

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ETL Testing

 

The  ETL Testing Training and Course provides an in-depth understanding of business intelligence and data warehousing concepts with the help of hands-on approaches, real-world industry scenarios, projects, practical, and theoretical classes. The candidate will also gain skills and knowledge in performance tuning, cubes, ETL Testing, and more through projects and assignments.

The ETL Testing course training provides good knowledge about the comparison between data warehouse testing and database testing, master data warehouse workflow, and more. You will also explore RDBM concepts, QA lifecycle, how to perform data checks with the help of SQL, understand different scenarios of ETL testing like constraint testing, business rules testing, dependency testing, source to target testing, negative scenarios testing, and error handling testing.

Once the candidate completes the ETL Testing course training from Yuva Sakthi Academy, they are rewarded with an ETL Testing course completion certificate, which helps to get a good job in top companies around the universe. The trainers of Yuva Sakthi Academy are working professionals and Business intelligence consultants who have more than 15+ years of experience in different client engagements.

About ETL Testing Course

ETL Testing Training includes Extract, Transform, and Load process in Data Warehousing as per the name ETL. It means extracting the data from diverse applications created and supported by multiple vendors, monitored and operated by various persons hosted on varied technologies. The ETL Testing course helps you to experience the real-time implements of projects of ETL Testing by discovering multiple topics like data acquisition, data warehouse schema, performance testing, data warehouse, data loading, testing strategies, and more. Explore various ETL Testing tools like Informatica data validation, Talend open studio, Query Surge, and more with our ETL Testing course training.

The ETL Testing course training deals with basic to advanced concepts and step by step routine, namely difference between OLTP and OLAP, data warehousing workflow and concepts, checking data with SQL, and more. Explore different topics like ETL Testing basics, process, best practices, ETL Testing data validation, deploying SQL for implementing data checks, and more. Analysts, software engineers, SQL and ETL developers, Mainframe, database, and Business Intelligence project managers can make use of Yuva Sakthi Academy ETL Testing training and .

A few other essential concepts covered in ETL Testing and training includes the basics of data integration, performance tuning, dimensional modeling, database testing, ETL scenarios, design principles, ETL vs. ELT, deflection management, and more. Apart from the hands-on project and technical training, we have a group of teams who work for the placement assistance for the candidates. We guide the students in a way they get placed in top companies.

Yuva Sakthi Academy provides 100% placement support to the candidates who have completed ETL testing . We have a tie-up with more than 100 MNC and software companies across the universe. We assure that the candidates of Yuva Sakthi Academy will be placed in reputed companies like Cognizant, Mu Sigma, Sony, Ericsson, TCS, and other equally strong companies. We also help them with job interviews, mock interviews, and resume preparations.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the ETL Testing Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time Days Batch Type Duration (Per Session)
8:00AM - 12:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
12:00PM - 5:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
5:00PM - 9:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs

ETL Testing Syllabus

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 the 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 the 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
  • þÿLookup Different types of lookup Caches
  • Sequence Generator
  • Filter
  • Joi
  • 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
  • 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.

Trainer Profile of ETL Testing Training Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

ETL Testing Training Exams

Yuva Sakthi Academy is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our at Yuva Sakthi Academy is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this in leading MNC’s of the world. The is only provided after successful completion of our training and practical based projects.

Key Features of Our Training Institute

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One on One Teaching

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Flexible Timing

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Fully Practical Oriented Classes

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Class Room Training

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Online Training

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Corporate Training

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100 % Placement

Projects in ETL Testing Training Course

Sales Pipeline Dashboard

Build a dashboard to get a clearer view of your sales pipeline and know where your leads are coming from, so that you can double down on your efforts there to meet your targets.

Sales Growth Dashboard

Build a dashboard to measure your sales team’s performance and how much revenue can be raised within a specific time frame.

Healthcare Data Dashboard

The ETL Testing Training Healthcare Data dashboard for hospital managers to manage and identify patients’ risk from one screen.

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

T

TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

H

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

P

Priya Mohan

Frequently Asked Questions

What is ETL Testing and why is it important?

ETL Testing stands for Extract, Transform, Load Testing. It is a crucial process in the data warehousing and data migration lifecycle that involves verifying and validating the ETL process. The ETL process extracts data from various sources, transforms it according to business rules, and loads it into a data warehouse or another target system.

The importance of ETL Testing lies in its ability to ensure the accuracy, completeness, and reliability of data. Without proper testing, data could be incorrectly transformed or loaded, leading to inaccurate business intelligence and decision-making. ETL Testing ensures that data is transferred correctly from source to target, transformations are applied correctly, and data quality is maintained. This process includes validating data formats, checking data integrity, verifying data transformations, and ensuring data completeness.

What are the key challenges in ETL Testing?

ETL Testing involves several challenges that can impact the accuracy and efficiency of the process:

1. **Data Volume and Complexity:** ETL Testing often deals with large volumes of data from various sources, each with different formats and structures. Managing and testing such large and complex datasets can be challenging and time-consuming.

2. **Data Quality Issues:** Data inconsistencies, duplicates, and missing values can complicate the testing process. Ensuring data quality involves extensive validation and cleansing, which can be labor-intensive.

3. **Changing Data Requirements:** Business requirements and data sources can change frequently, requiring continuous updates to the ETL process and the corresponding tests. Keeping up with these changes and maintaining test scripts can be challenging.

4. **Performance Testing:** Ensuring that the ETL process performs efficiently with large datasets is crucial. Performance testing involves checking the speed and efficiency of data extraction, transformation, and loading processes.

5. **Lack of Automation:** Manual testing of ETL processes can be error-prone and time-consuming. Implementing automation in ETL Testing can help address this challenge, but it requires significant initial investment and expertise.

What are the best practices for ETL Testing?

Adopting best practices in ETL Testing ensures the accuracy, reliability, and efficiency of the testing process. Here are some key best practices:

1. **Understand Business Requirements:** Clearly understand the business rules and requirements to ensure that the ETL process meets the desired outcomes. This includes understanding the data sources, transformation rules, and target data models.

2. **Create Detailed Test Plans:** Develop comprehensive test plans that include test cases for data extraction, transformation, and loading processes. These plans should cover data validation, data integrity, data completeness, and performance testing.

3. **Use a Staging Area:** Use a staging area to temporarily store and validate data before loading it into the target system. This allows for data cleansing, transformation, and validation without affecting the production environment.

4. **Automate Testing:** Implement automation tools and scripts to streamline the ETL Testing process. Automation helps in executing repetitive test cases, ensuring consistency, and reducing the risk of human errors.

5. **Perform Incremental Testing:** Test data incrementally rather than in bulk to identify and resolve issues early in the process. Incremental testing helps in managing data volumes and ensures that changes do not negatively impact the existing ETL process.

6. **Validate Data Quality:** Perform thorough data quality checks to ensure that the data is accurate, complete, and consistent. This includes checking for duplicates, missing values, and data format inconsistencies.

7. **Monitor and Log ETL Processes:** Implement monitoring and logging mechanisms to track the ETL process. This helps in identifying and resolving issues quickly and provides an audit trail for troubleshooting and compliance purposes.

What tools are commonly used for ETL Testing?

Several tools are available to facilitate ETL Testing, each offering different features to address various aspects of the testing process. Some commonly used tools include:

1. **Informatica Data Validation (IDV):** A powerful tool that integrates with Informatica PowerCenter to automate data validation and ETL testing processes. It offers features like data quality checks, validation, and reporting.

2. **QuerySurge:** An ETL testing solution designed to automate the testing of data warehouses and data migration processes. It provides comprehensive data validation, comparison, and analysis capabilities.

3. **Talend Open Studio:** An open-source ETL tool that includes components for data integration, data quality, and ETL testing. It allows for the automation of data validation and transformation processes.

4. **Datagaps ETL Validator:** A tool specifically designed for ETL testing and data validation. It provides features like data comparison, validation, and profiling to ensure data accuracy and integrity.

5. **SSIS (SQL Server Integration Services):** A Microsoft tool that includes ETL testing capabilities. It allows for data extraction, transformation, and loading, as well as data validation and performance monitoring.

6. **Apache JMeter:** Although primarily used for performance testing, JMeter can be used for ETL testing by scripting data validation and transformation tests.

7. **Selenium:** Primarily a web application testing tool, Selenium can be used for ETL testing by automating browser-based data validation and extraction tasks.

How do you validate data transformations in ETL Testing?

Validating data transformations in ETL Testing involves ensuring that the data is correctly transformed according to the defined business rules and logic. Here are some steps to validate data transformations:

1. **Understand Transformation Rules:** Clearly define and understand the transformation rules and logic that need to be applied to the data. This includes data cleansing, aggregation, filtering, and any other transformations required.

2. **Create Test Cases:** Develop test cases that cover all possible transformation scenarios. These test cases should include input data, expected output data, and the transformation logic applied.

3. **Extract Source Data:** Extract data from the source systems and validate that it matches the expected input data for the transformation process. Ensure that the source data is accurate and complete.

4. **Apply Transformations:** Apply the transformation logic to the source data as defined in the ETL process. This can be done using ETL tools or custom scripts.

5. **Compare Output Data:** Compare the transformed data with the expected output data. This involves checking that the transformations have been applied correctly and that the output data matches the expected results.

6. **Use Automated Tools:** Utilize automated ETL testing tools to streamline the validation process. These tools can automate the comparison of input and output data, ensuring accuracy and efficiency.

7. **Perform Data Profiling:** Conduct data profiling to analyze the data and ensure that the transformations have been applied correctly. This involves checking for data integrity, consistency, and completeness.

By following these steps, you can validate that the data transformations in your ETL process are accurate and meet the defined business rules and logic.

What are the different types of ETL Testing?

ETL Testing encompasses various types of testing to ensure the accuracy and reliability of the ETL process:

1. **Data Completeness Testing:** Ensures that all expected data has been loaded into the target system without any omissions.

2. **Data Transformation Testing:** Validates that data transformations are applied correctly according to the defined business rules and logic.

3. **Data Quality Testing:** Checks for data accuracy, consistency, and integrity throughout the ETL process.

4. **Performance Testing:** Evaluates the performance of the ETL process in terms of data processing speed, throughput, and resource utilization.

5. **Integration Testing:** Verifies that the ETL process integrates seamlessly with other systems, databases, and applications.

6. **Regression Testing:** Ensures that recent changes or enhancements to the ETL process do not adversely affect existing functionality.

7. **Metadata Testing:** Validates metadata definitions, mappings, and relationships to ensure they accurately represent the data flow and transformations.

How do you handle ETL Testing in real-time projects?

Handling ETL Testing in real-time projects requires a structured approach and adherence to best practices:

1. **Requirement Analysis:** Understand the business requirements, data sources, transformation rules, and target data model thoroughly.

2. **Test Planning:** Develop a detailed test plan that includes different types of ETL tests, test cases, and expected outcomes.

3. **Data Profiling:** Conduct data profiling to analyze data quality, integrity, and consistency across different sources.

4. **Data Validation:** Implement automated scripts and tools to validate data extraction, transformation, and loading processes.

5. **Performance Testing:** Evaluate the performance of the ETL process under various load conditions to ensure scalability and efficiency.

6. **Regression Testing:** Perform regression testing to verify that recent changes or fixes do not introduce new issues into the ETL process.

7. **Documentation and Reporting:** Document test results, issues, and resolutions comprehensively. Provide clear reports and metrics to stakeholders.

By following these steps, you can effectively handle ETL Testing in real-time projects and ensure the reliability and accuracy of data integration processes.

What are the advantages of automated ETL Testing?

Automated ETL Testing offers several advantages over manual testing methods:

1. **Efficiency:** Automation allows for the execution of repetitive tests quickly and accurately, saving time and effort.

2. **Consistency:** Automated tests ensure consistent test execution and validation criteria, reducing the risk of human errors.

3. **Scalability:** Automated tests can handle large volumes of data and complex scenarios more effectively than manual testing.

4. **Reusability:** Test scripts and cases can be reused across different projects and iterations, improving productivity.

5. **Faster Feedback:** Automated tests provide faster feedback on changes and issues, enabling quicker resolution and deployment.

6. **Cost-Effectiveness:** While initial setup may require investment, automated testing ultimately reduces costs associated with manual testing and potential errors.

7. **Comprehensive Reporting:** Automation tools generate detailed reports and metrics, facilitating better decision-making and stakeholder communication.

How do you ensure data security in ETL Testing?

Ensuring data security in ETL Testing involves implementing best practices and measures to protect sensitive information:

1. **Encryption:** Encrypt sensitive data during extraction, transformation, and loading processes to prevent unauthorized access.

2. **Access Control:** Implement strict access controls and authentication mechanisms to restrict access to data and ETL processes.

3. **Data Masking:** Use data masking techniques to anonymize sensitive data in non-production environments, ensuring privacy and compliance.

4. **Audit Trails:** Maintain audit trails and logs of data access, transformations, and loading activities for monitoring and compliance purposes.

5. **Compliance:** Adhere to regulatory requirements and industry standards (e.g., GDPR, HIPAA) related to data protection and privacy.

6. **Secure File Transfer:** Use secure protocols and methods for transferring data between systems and environments.

7. **Regular Security Audits:** Conduct regular security audits and assessments to identify vulnerabilities and implement necessary controls.

By implementing these measures, you can enhance data security in ETL Testing and mitigate risks associated with data breaches and unauthorized access.

What are the common challenges faced in ETL Testing?

ETL Testing involves various challenges that testers often encounter during the process:

1. **Data Completeness:** Ensuring that all expected data is extracted and loaded into the target system without any omissions.

2. **Data Accuracy:** Validating that data transformations and calculations produce accurate results according to business rules.

3. **Performance:** Evaluating the performance of the ETL process in terms of speed, throughput, and resource utilization.

4. **Data Quality:** Checking for data consistency, integrity, and adherence to quality standards throughout the ETL pipeline.

5. **Compatibility:** Ensuring compatibility and seamless integration between various data sources, systems, and applications.

6. **Error Handling:** Implementing robust error handling mechanisms to manage and resolve errors encountered during ETL processes.

7. **Regression Testing:** Verifying that recent changes or updates do not adversely affect existing functionality and data integrity.

Addressing these challenges requires meticulous planning, testing strategies, and the use of appropriate tools and methodologies.

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