4 Real-Time Data Analytics Predictions for 2021
Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.
Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.
As companies remerge from the pandemic, controlling costs is the new priority. As a result, the cost of innovation is being watched closer than ever.
Real-time technologies, methodologies, and solutions adopted in 2020 will enable business success and innovations in 2021.
Digital transformation efforts should take a serious look at real-time data APIs and data virtualization as they might be the keys to making data readily available.
Multicloud Kubernetes microservice-based applications can leverage Skupper to provide more reliable and flexible communication patterns.
EA is the cornerstone of initiating any change because you can only do the change when you know what you are starting with.
Data execs and developers need a comprehensive set of integration and messaging technologies to connect applications and data across hybrid infrastructures.
Many vendors used this week’s KubeCon and CloudNativeCon to announce offerings. These items complemented a busy week on the product news front.
Businesses are striving to develop digital transformation solutions that increase customer satisfaction, retention, and long-term profitability.
Enterprise architecture is no longer just about technology assets. It is also about business capabilities, application data flows, and customer experiences.