Stream Processing in Financial Services
Stream processing is transforming how the most ambitious financial services companies serve customers and how they operate in complex, always-changing …
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.
Understanding the Power of Real-Time Stream Processing
Gartner: Real-time stream processing is not the future. It's been underway for maybe as much as 20 years. However, we're only halfway through the revolution.
Apache Kafka and RabbitMQ: Which Open Source Platform Will Fit My Needs?
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use
What Is Change Data Capture and Why Should You Care?
Although CDC is not new, modern demands for real-time ingestion and serving the freshest possible data to applications gives you an opportunity to re-evaluate …
Data Management Challenges When Working with Streaming Edge Data
To work with streaming edge data requires a modern data architecture built on next-generation databases, data pipelines, and streaming data
What’s the Difference Between Streaming Apps and Data-in-Motion?
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
InfinyOn Provides the Needed Link to Enable Real-time Event Streaming Applications
InfinyOn has architected a platform for data in motion that uses SmartModules to enable enterprises to program their data pipelines for real-time services.
Uber Deploys Exactly-Once Processing System for Ads
Uber's new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and
Top Challenges of Using Real-Time Data
Given the unique challenges of working with real-time data, organizations need to consider which tools will help them deploy and manage AI and ML models in the …
Real-Time Data Streaming Delivers, and the Data Finally Shows It
Harnessing the full power of real-time data streams delivers great value, but is difficult for many organizations. The top hurdle is integrating multiple data …