Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

ETL Testing refers to the testing, validation, and analysis of the Extraction, Transformation, and Loading Processes that are part of ETL and ELT Pipelines. As ETL testing refers to “Data-in-Motion” Testing, the unit test architecture and principles slightly differ from “Data-at-Rest” Testing (Warehouse/DB Validation)....
Learn data reconciliation best practices using ETL Validator to ensure data accuracy, integrity, and consistency through automated ETL validation....
Datagaps Inc. announced its latest product feature updates for the DataOps Suite Version 2023.4.0.0 – The theme of this update is Integration and Easy to apply Analysis. If you are interested in getting a demo of DataOps Suite, you can fill your details here....
Trust has become the cornerstone of decision-making. The Trusted Data Summit 2023, a virtual event hosted by Datagaps...
Best practices for Power BI development is important. Here we provide an overview of some key best practices for Power BI development...
Data Warehouses provide a comprehensive view of data across many different sources, and proper analysis can encourage better business decisions and problem-solving. However, building and maintaining an effective data warehouse requires careful thought and consideration...
Today, Data has become the core of any business, and ETL processes are important for every data-related project. Be it Data Warehouse or Data Lake every business builds and runs thousands of ETL processes for its data movement. Data validation and ETL Testing will be of prime importance...
Data profiling is a crucial step in the data management process, especially in the pharmaceutical industry where accurate and reliable data is essential for making informed decisions....
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