LONDON--(BUSINESS WIRE)--With the rising demand for healthcare services, there has been a subsequent rise in demand for drug development. As such, new technologies to improve bioanalytical testing ...

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NEW YORK, May 21, 2020 — QuerySurge, a smart data testing solution that automates the validation and testing of big data, announced the launch of its new certification program. In this time of job ...

Data warehouses may seem like a trip down memory lane, or just a clunky data store. But if we look closely at data warehouse projects, the goals - and results - remain relevant. Most clients I speak ...

Database giant Oracle Corp. announced a new release of its cloud-based Autonomous Data Warehouse service today, adding new capabilities that analysts say will help democratize machine learning.

Business software giant SAP SE said it’s aiming to help enterprises eliminate the complexities of accessing and using data scattered across disparate systems and locations with today’s launch of its ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...