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ETL, which stands for Extract-Transform-Load is the process of data being loaded from a source system to the data warehouse of a company. In this age of Business Intelligence, such raw data is generated in copious amounts and within a very short time, which is then used for data mining activities, reporting and analysis, etc. ETL testing, also known as data warehousing testing, is a growing testing sub-segment today owing to the growth of IV & V testing services around the world. ETL testing services are ideal for portfolios that deal with a large amount of historical data such as banks and financial institutions, travel, etc.
Although an important step for efficient data warehousing techniques, inaccurately performed ETL testing can lead to source data not being mapped correctly, essentially leading to a large loss in the EDW (Enterprise Data Warehouse). Flatworld is a leading ETL testing service provider and we specialize in automation techniques which makes it very easy to validate your organization's data while adding flexibility and scalability to your testing processes.
At FWS, we ensure that the data extracted from all relevant data sources remains intact and can be easily mapped in the required data warehouse. Our comprehensive services make use of both proprietary and open-source tools to ensure better compliance, and include -
This testing is performed when the data is in the process of being moved into data warehouses and other related production systems. We ensure that all the data is transferred correctly and mapped properly by analyzing for the minutest change, thereby allowing you to make correct business-related decisions. Our automation techniques and our efficient management of existing and historical data ensure your business never gets compromised due to incorrect data.
More often than not, data warehouses are upgraded in order to ensure they remain compliant with recent technological changes. Our application upgrade testing process is fully automated, thereby saving considerable development and scripting time. We test whether data extracted from an old repository can be easily merged into a new repository, and whether there are any significant differences between the both.
Our automated procedures allow you to easily validate the data transferred have the exact same values as the old ones, and if not, spot checks in place to ensure the remediation of the process while preventing future ones from occurring.
Once the data is validated with the help of validation testing, we verify that all the data is accurately loaded into the data warehouse by comparing validation counts, aggregates, and by performing spot checks between random actual and target data on a timely basis.
Sometimes, even if the data is transferred correctly, the metadata might not match the previous one, thereby resulting in inaccuracies. Our metadata testing procedures incorporate data length check, data type check, and indexing check, which are fully automated to save you valuable time
Data transformation testing requires a lot of manual labor as every single time a single-source SQL query has to be written which is then compared to the target output. In most cases, many such SQL queries need to be written so as to verify the transformation changes. Our services ensure that all this hard work is performed at the backend so as to save time and costs for our clients.
Data quality tests, which include both reference and syntax tests, are especially important for a company to rely on their generated data without facing any issues. Our data quality testing services ensure you can easily avoid all errors caused due to bad data quality and rely comprehensively on the quality of data generated.
Our reference tests make use of the latest ETL testing tools and automation methods in order to check the data generated against its data model. On top of that, our syntax tests then accurately report on misaligned data caused due to invalid characters, inaccurate character patterns, case usage, etc.
Although not a complex task, navigational and GUI inaccuracies can lead to wasted time and resources. Therefore we check all aspects of the GUI on front-end reports to ensure completeness.
Data integrity is always a challenge when dealing with large amounts of data. Our incremental testing methods check the integrity of old data and how it works with the addition of new data, thereby verifying that all updates and inserts are regularly processed during the ETL process.
Our ETL testing process has been fine-tuned over the years in order to assure you of the highest quality data transformation. Our process includes -
Business and Requirement Identification: We understand the exact nature of your business and identify the various data sources which we need to work with
Test Estimation and Planning: We prepare a thorough test estimation based on the data we need to work with, and plan tests accordingly based on client input test estimation results
Test Case Design and Preparation: Based on all available inputs, we design the ideal test case scenarios by implementing business logic and dimensional modeling techniques
Pre-execution Check: Once the test cases have been approved by the client, we perform a pre-execution check and prepare the data for testing in order to ensure all rules are adhered to
Bug Reporting and Execution: We execute the test until all exit criteria are met, report on the bugs generated, and move to remove them
Result Analysis and Summary Report Creation: We analyze the test results to ensure the completeness of the test rule, and then create a summary report which is provided to the client
Test Closure: Upon client verification, we proceed with test closure
Our ETL test scenarios cover the length and breadth of the Data warehousing process, thereby ensuring complete data accuracy. This comprehensive testing coverage, therefore, allows you to lower business risk while being able to confidently trust the data generated while making mission-critical decisions. Some of the test case scenarios we use include -
With more than 10 years of experience, we are correctly positioned to deliver the best quality testing services to our clients across the globe. We employ professional testing experts who have the knowledge and the know-how to work on the most complex projects and turn them into a success. Some of the key benefits of partnering with us include -
At FWS, our testing services have allowed us to differentiate and offer better value to global clients looking for high-quality and cost-effective data warehouse and ETL testing. With the help of multiple delivery centers and professional testers, we are able to cater to various industry verticals while being able to showcase our infrastructure and a robust TCoE (Testing Center of Excellence) where industry-best practices lead to world-class services at cost-effective rates.
Contact us right away and benefit by partnering with a truly international testing services provider.
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