by Surya Golagani | Feb 14, 2023 | Cloud Data Migration, Data Quality, DataOps, ETL Testing, Snowflake
Introduction and Overview of ETL Testing ETL stands for Extract, Transform, and Load. It is the process by which data is extracted from one or more sources, transformed into compatible formats, and then loaded into a target Database or Data Warehouse. The sources may... 
by Surya Golagani | Dec 29, 2022 | Cloud Data Migration, Dataflow, DataOps, ETL Testing, Snowflake
What Is ETL Testing? 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... 
by Narendar Yalamanchilli | Feb 18, 2022 | Snowflake
Migrating to Snowflake Cloud Data Warehouse Migration from a legacy data warehouse such as Netezza to a cloud-based Snowflake data warehouse requires multiple steps. Data Validation is the key to the success of data migration projects. Datagaps Data Flow can be used... 
by Surya Golagani | Feb 8, 2022 | BI Testing, Cloud Data Migration, Dataflow, ETL Testing, Snowflake
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.... 
by Surya Golagani | Jan 19, 2022 | Snowflake
This article discusses why and how to use both together, and dives into the challenges of Bulk Data Migration to Snowflake. Why and How? People are rapidly adopting cloud architectures for Data Warehouses and Machine Learning projects due to the economies of scale in...
