well-known data infrastructure tooling and is much faster than data lake and warehouse solution development. In my experience, it's possible to reduce the time it takes to get valuable insights from quarters and months to weeks.
For those in the healthcare industry, this type of approach can support results like process and operational improvements that can manifest in better prediction of patient outcomes.A vital output of a Data Mesh approach is called a"data product." It serves a business community for one or more business use cases. It is built very quickly — in just days to weeks.
The number of data products that produce analytical ROI or business impact, deployed live to customer group per time period. For example, the time to market for creating a business-relevant Data Mesh data set. One of our customer’s data product teams built 50 data products that went live within two months. These data products were accessed by 4,800 business users running Microsoft PowerBI on top to improve healthcare. Escaping from years of legacy data warehousing architecture is not easy. After you have"changed your current mental model from a single, centralized data lake," how do you proceed? A few best practices for Data Mesh can help guide your own journey to a better data solution.
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.