Today’s applications—including enterprise applica­tions—need to be always on and always available and often must serve a global base of users who expect almost instantaneous response times regardless ...
Of any enterprise technology, enterprises are most dedicated to their chosen database. Once data goes into a particular database, CIOs hate to take it out. It's costly, and the risks often outweigh ...
Google launched a public beta for a new global database service that features both the consistency of the relational model and the scaling and data functionality of NoSQL offerings. Called Cloud ...
Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...
Think about the promise of what AI is able to accomplish in terms of helping with software production and systems operation. Part of the business appeal of realigning operations with AI has to do with ...
The growth of the Relational Databases Software Market is primarily driven by the exponential rise in enterprise data volumes, increasing adoption of cloud-based database solutions, and the ...
This paper discusses the advantages of plant-wide historians over RDBs for data collection and time-series data optimization to enable true process visibility. There are critical capabilities that ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Microsoft today launched Dataflex, a relational database that lets business developers create, deploy, and manage Power Platform apps and chatbots without leaving Microsoft Teams. The built-in low ...
Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider. The world has become “sensor-fied.” Sensors on everything, ...
Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...