Automate Data Testing
DataQ is a Data Quality Management platform designed to automate Data Testing. Data risk has increased exponentially with the advent of cloud migrations, big...
Why Choose Automate Data Testing?
You should choose this if you need to automate data testing at scale, especially with big data and cloud migrations. It’s built to handle massive datasets and makes writing test cases easy for both tech and non-tech folks.
DataQ is a Data Quality Management platform designed to automate Data Testing. Data risk has increased exponentially with the advent of cloud migrations, big data and data lakes. It's nearly impossible to continue manual data testing and monitoring. DataQ, with its data validation rules-based approach, enables enterprises to automate ETL testing and implement DataOps strategies for data-centric projects and systems. DataQ is built ground up to scale and can easily compare millions of records at a time between any type of sources and destinations, including structured, semi-structured, transactional databases, flat files (e.g. CSV) as well as on-prem & cloud based data warehouses. It provides an intuitive interface to both technical and non-technical users to write simple as well as complex test cases to verify that the ETL jobs are performing the desired operations. DataQ also provides detailed reports for each test, including execution time taken and errors identified.
Automate Data Testing Introduction
What is Automate Data Testing?
DataQ is a Data Quality Management platform designed to automate Data Testing. Data risk has increased exponentially with the advent of cloud migrations, big data and data lakes. It's nearly impossible to continue manual data testing and monitoring. DataQ, with its data validation rules-based approach, enables enterprises to automate ETL testing and implement DataOps strategies for data-centric projects and systems. DataQ is built ground up to scale and can easily compare millions of records at a time between any type of sources and destinations, including structured, semi-structured, transactional databases, flat files (e.g. CSV) as well as on-prem & cloud based data warehouses. It provides an intuitive interface to both technical and non-technical users to write simple as well as complex test cases to verify that the ETL jobs are performing the desired operations. DataQ also provides detailed reports for each test, including execution time taken and errors identified.
How to use Automate Data Testing?
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Why Choose Automate Data Testing?
You should choose this if you need to automate data testing at scale, especially with big data and cloud migrations. It’s built to handle massive datasets and makes writing test cases easy for both tech and non-tech folks.
Automate Data Testing Features
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