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... 
by Surya Golagani | Dec 6, 2022 | Cloud Data Migration, Dataflow, DataOps, ETL Testing
What Is Data Drift? What is Data Drift? Within the data space, the only constant thing is “change”. The drift in data here refers to a multitude of changes in the input data primarily in terms of frequency, aggregates, and heterogeneity. These are not... 
by Surya Golagani | Dec 5, 2022 | Cloud Data Migration, Dataflow, DataOps, DevOps, ETL Testing
Importance of Data and Data Testing Data is a precious asset that has to be validated at various stages of use. One stage is at the point of ingestion, and another as it moves through your enterprise and lands in your data warehouse or data lake. Finally, when it is...
