Maximizing the Value of Your Data Lake
Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the …
Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the …
Real-time analytic databases that combine CRUD with streams for high concurrency and sub-second response times across billions of data points are needed for …
Data location is increasingly important as it has consequences related to governance, application performance, and
Red Hat OpenShift Database Access is a cloud service that simplifies how teams connect their apps to cloud-hosted partner databases. Across all clusters and …
A data fabric can break down data silos to help improve safety analyses, enabling more refined signal detection, benefit-risk profiles, and risk management …
A data mesh and data fabric can work together to create a cutting-edge solution to a normally overwhelmingly complex challenge.
Robotic data automation paves the way to the next generation of data integration architecture, which is data fabric and data
A data mesh flips the script on centralization and having a monolithic data structure by decentralizing data management to the various business domains across …
Organizations seeking agility and resiliency in their supply chain must adopt technology to innovate, solve critical supply chain gaps, and improve customer …
Picking the right database when there are so many available should not just be a case of using whatever was easy for your last project.