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

Many organizations continue to use Oracle database for storing transactional and warehouse data in their on-premise data centers. However, with data growing exponentially, their data environments are struggling to handle the growing load which requires more processing power...
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...
Datagaps Inc. announces a new partnership with Snowflake, the Data Cloud company. Datagaps attains Snowflake Select Technology Partner in the space of Data and Business Intelligence Validation to help organizations validate their migration to Snowflake’s Data Cloud....
The Data Quality dimensions provide a way to categorize data validation rules and measure data quality. There are seven data quality dimensions that are commonly used to measure data quality....
In this session, Andrew Cardno, one of the adjunct faculty at TDWI talked about the importance of validating data from the whole to the part, which means that the metrics or total should be validated before reconciling the detailed data or drill-downs. For example, revenue totals by product...
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