by Surya Golagani | Jan 13, 2023 | Data Quality, Data Validation, Dataflow, DataOps, ETL Testing
DataOps is managing data in its raw form or transforming it from one format to another. It ensures that the data flowing through your production pipelines is accurate and reliable. DataOps combines software development and infrastructure management best practices with... 
by Surya Golagani | Jan 9, 2023 | Cloud Data Migration, Data Validation, DataOps, ETL Testing
Complex Structural Hierarchical JSON and XML files Why are complex structural and deeply hierarchical JSON and XML files so difficult to validate? While most google searches for “JSON Validation” led to validation tools and articles that focus on... 
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 Surya Golagani | Dec 29, 2022 | Cloud Data Migration, Data Validation, Dataflow, DataOps, ETL Testing
Understanding Validation of Salesforce Objects, Uploads, Updates and How Datagaps DataOps Can Help Intro to Salesforce Salesforce is a cloud-based CRM platform that helps businesses manage and analyze customer interactions and data throughout the customer lifecycle.... 
by Surya Golagani | Dec 23, 2022 | BI Testing, Cloud Data Migration, DataOps, ETL Testing
No matter how many new features an application has, how clean the user interface is, or even how fast the content is delivered across the Internet, if the data is inaccurate on incomplete, the product will fail. A company that uses corrupt or incorrect data cannot...
