Git-based CI/CD for Machine Learning and MLOps
Platforms that implement CI/CD and automate builds provide developers with the needed flexibility when building DevOps
Topic: Stream Processing
This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received.
Real-time Analytics News for Week Ending January 23
Partnerships abound to speed the adoption of real-time analytics and systems, and new offerings target streaming analytics and digital twins.
Event-Driven Implementation Patterns
The decoupled and asynchronous nature of an event-driven architecture enables the development of flexible, extensible, modern cloud-based serverless …
How Hidden Dependencies Adversely Impact Real-Time Apps
Organizations need transparency into real-time applications to understand inter-dependencies, prevent unexpected problems, and avoid incorrect results.
Continuous Intelligence for 4G/5G Mobile Edge Computing
Combining compute, connectivity, and low latency communication to endpoints lets MEC-hosted applications analyze streaming data on-the-fly and respond before …
Time to Market is Everything – Make it Happen with DataOps
A DataOps approach is about breaking down the barriers between people, technology, tools, and data to gain context and drive
Achieving Business Resilience from a Responsive Architecture
Disruption is coming at us from many different directions. We have, at a macro level, economic volatility. We face, in our markets, innovative competitors. We …
Stream Processing: The Surest Path to Fast, Accurate Anti-fraud and AML Compliance
A robust and low-latency fraud analysis pipeline/risk engine makes financial institutions become both more competitive and more
Splunk Dives Deeper into Streaming Data Analytics
DSP at its core is a collection of open-source Apache tools that Splunk has curated to create a unified platform that enterprise IT teams can more easily …
A Reference Guide to Stream Processing
The traditional approach to processing data at scale is batching; the premise of which is that all the data is available in the system of record before the …