Real-time Analytics News for Week Ending November 20
In this week's real-time analytics news: The Linux Foundation and the CNCF announced the availability of the Kubernetes and Cloud Native Associate Exam, and …
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Computational Storage: Go Beyond Computation Offloading
The key to computational storage is to initiate its commercialization by dropping the conventional "computation offloading"
Using a Semantic Layer to Propel a Data-Driven Culture
A semantic layer lets organizations connect data warehouses, data lakes, and data lakehouses to an existing data ecosystem to ensure their continued relevance …
No Time to Waste: 100,000 Messages a Second and Growing
Organizations are using event-driven architectures, Apache Kafka, Apache Pulsar, and other streaming technologies to handle the glut of event messages they …
How Change Data Capture Can Speed Development and Deployment
In any application modernization project, businesses that choose to add CDC to their plans from the beginning will reap the rewards, again and again, as they …
Parallel Processing 2.0: Round Two, Ready Fight!
Vectorized CPUs have been gestating for decades. Now they are emerging as the innovator’s choice as they use parallel CPU instructions when working on a …
Handle With Care: The Data in Data Science
AI and ML applications need unified quality data from multiple silos and diverse formats that multiple workgroups can easily and securely
Oil and Gas Cloud Applications Exploding by 2026
Oil and gas companies have been leading users of cloud due to the industry’s high compute requirements and large volumes of
Real-time Analytics News for Week Ending October 16
In this week's real-time analytics news: Red Hat announced updates in its portfolio of tools and programs for building applications on Red Hat OpenShift, and …
AI Unlocks Data Produced by Wireless Backhaul Networks
AI can unlocked the hidden knowledge in the vast amount of data in backhaul networks, making it available for troubleshooting and to improve network …