Improving FinServ Application Performance by Reducing Latency
FinServs can address latency issues by putting data closer to the application or customer. In this way, data is served faster.
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 February 20
In this week's real-time analytics news: Multiple IBM partnerships with end-user companies to speed digital transformation and
Why Real-Time Monitoring Is Less Important Than It Seems
Rather than fixating on real-time monitoring for its own sake, businesses should focus on understanding and fixing problems in the most efficient
Confluent Premium Connector Integrates Oracle and Kafka
The Confluent Premium Connector captures changes in Oracle databases to modernize data warehouses and facilitate data synchronization and real-time
Updating Our Infrastructure: A Living Organism
A smart infrastructure can play a role in many smart city applications including traffic management, healthcare planning, and
5 Predictions for Real-Time Analytics in 2021
Unlocking data with real-time analytics will help many companies become operationally responsive in everything they do, particularly when it involves their …
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
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.