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Database-Testing-–-Ensure-acceptable-variance-in-Data-differences-20

Database Testing – Ensure acceptable variance in Data differences

At a recent event, one of the prospects at the attendees came over to our booth and asked me to demonstrate a use case that was kind of interesting. I got a similar request from another prospect recently and thought that it might be a good idea to blog and...
Big Data Testing Challenges

What Are the Challenges in Big Data Testing?

Big Data Testing Best Practices

What Are the Best Practices for Big Data Testing?

Data Profiling in ETL

What Is Data Profiling in ETL? Types, Best Practices & Tools

Data Reconciliation Best Practices in ETL

What Are the Best Practices for Data Reconciliation?

Learn data reconciliation best practices using ETL Validator to ensure data accuracy, integrity, and consistency through automated ETL validation....
Automating-Big-Data-Testing-05-05

How Do You Automate Big Data Testing? Everything To Know

Big Data has passed the tipping point. It’s no longer a fringe interest being practiced by data scientists. The Big Data industry is currently on track to be worth $77 billion by 2023....
ETL Validator for Testing Transactional Systems

ETL Validator for Testing Transactional Systems

The customer offers a survey related product and the configuration/setup is driven primarily by database level configurations across many tables. They provide a means for customers to develop using a “Development” database, once everything looks good,...

DataOps Suite Feature Updates – Version 2023.4.0.0

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....

The Integration of Data Build Tool (dbt) and Datagaps DataOps Suite

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...
5-Critical-Steps-to-Achieve-Trustworthy-Data-in-your-Data-Warehouse

5 Critical steps to achieve Trustworthy Data in your Data Warehouse

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...

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