Data hygiene in ETL and reverse ETL
Good data hygiene means data is correct and easily used to draw insight. This definition then begs the question: How do you achieve it?
Good data hygiene means data is correct and easily used to draw insight. This definition then begs the question: How do you achieve it?
In this blog post we are going to look at some of the uncommon performance tests. By this we mean those scenarios that are not what we believe are commonly executed but those that are run periodically at best. These uncommon scenarios should not necessarily take priority over the more common performance scenarios. They do add value by stressing parts of your application under test that may be missed by the more conventional tests.
Retrieving data from a source, ensuring it suits business requirements, and moving that data into a target data source is critical to any data strategy. Low-code tools can help create robust and flexible ETL processes that automate your data loading.
System integration is the process of combining different systems and software so that they can work together. It is also the process by which a system or application can interact with other systems, applications, or devices. Because each integration is unique, it is crucial to ensure that the tool you use to facilitate that integration is flexible enough to cover many cases.
Building a data-driven pricing platform for speed, scale and automation with BigQuery, Looker and more.