Event-Driven Implementation Patterns
The decoupled and asynchronous nature of an event-driven architecture enables the development of flexible, extensible, modern cloud-based serverless …
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.
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 …
Rockset Bridges Divide Between SQL and Kafka
While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.
Getting Started with Stream Processing
In this technical webinar, sponsored by Hazelcast, Java Champion Ben Evans provides an introduction to stream processing as well as an overview of core …