Location, Location, Location Matters with Data, Too
Data location is increasingly important as it has consequences related to governance, application performance, and
Topic: Big data architectures
Managing Database Access for Kubernetes Workloads
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 …
Data Fabric: Make Safety a Strategic Center by Unlocking the Value of Big Data
A data fabric can break down data silos to help improve safety analyses, enabling more refined signal detection, benefit-risk profiles, and risk management …
Why Enterprises Benefit from Establishing a Meshy Fabric
A data mesh and data fabric can work together to create a cutting-edge solution to a normally overwhelmingly complex challenge.
Supercharging the Data Flowing into Advanced Analytics
Robotic data automation paves the way to the next generation of data integration architecture, which is data fabric and data
From Data Warehouse to Data Mesh: Usable Data is Still Key
A data mesh flips the script on centralization and having a monolithic data structure by decentralizing data management to the various business domains across …
Why Digital Infrastructure Is Key to Achieving Supply Chain Resiliency
Organizations seeking agility and resiliency in their supply chain must adopt technology to innovate, solve critical supply chain gaps, and improve customer …
Real-time Data and Database Design: Why You Should Sweat the Small Stuff
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.
apply(conf) puts everything on the table to help data and ML teams succeed
Bringing ML models into production is hard. Fortunately, community initiatives such as apply(conf) are helping.
Data Fabric vs. Data Mesh: Key Differences and Similarities
Data fabric and data mesh both strive to bring organization to the data that is spread across the databases or data lakes. Data fabric is very …