Modernize Payment Processing Technologies to Meet the Demands of the Mobile Age
Billions of mobile devices around the world can now initiate payments. But can the supporting IT infrastructure keep up with the growing pressure to process …
Topic: In-memory computing
Explores how in-memory computing technologies enable real-time analytics.
Stream Data from the Network Edge for Insight-Driven Advantage
As the number of edge devices grows and enterprises push more processing to the network edge, data streaming solutions will become increasingly common to—and …
How to Create a Digital Integration Hub to Run Real-Time Business Processes
Digital Integration Hub architectures let businesses query across real-time and historical data to improve operations and drive better business decision
What Is Continuous Intelligence?
Continuous intelligence relies on platforms, architectures, and software that allows organizations to collect, organize, and analyze data to enable fast …
PriceRunner: Fast Online Comparisons and Predictions – Even in Frenzies
How the etailer maintains millisecond response for millions of twitchy shoppers. Hint: In-memory and real-time streams.
Red Hat Pushing AI, Real-Time into Production
New NVIDIA pact, Gigaspaces certification, process automation expand enterprise
SAP Advances Real-Time Data Processing
HANA adds database-as-a-service for public clouds and embedded data
Smart Apps: 4 Tips in Using Fast Data for Better Business Applications
Customers expect fast apps and personalized experiences. Here's how a NoSQL database, machine learning, and other tools can
How Misys Used In-Memory Tech for Investment Risk Management
How do you manage investment risk for a billion data
With Apache Spark, Old Mainframes Learn New Tricks
Running Spark on the mainframe can be advantageous because data is co-located. One use is fraud