On Microservices and Event-Driven Architectures
An overall enterprise architecture for real-time analytics is possible with the decoupling
Tools and Tactics for real-time analytics.
An overall enterprise architecture for real-time analytics is possible with the decoupling
Honeywell Building Solutions used Microsoft's Azure platform to enable preemptive maintenance and streaming analytics for building equipment such as
Machine learning, the IoT, and the cloud enable predictive
What's an in-memory data grid used for? And how does it differ from streaming technologies? A podcast with Dr. William Bain, CEO of ScaleOut
To help eventually power e-commerce and product suggestions, Adidas turned to a Neo4j graph database to exploit data relationships through shared
As business goes digital, there's a growing market for in-memory data
The ability to monitor suspicious activity and price limits in real time is crucial for financial service industries. Here's how Cleartrade Exchange used data …
SwedishAmerican Hospital credits a real-time data visualization tool for reduced wait and discharge times at its emergency
Maple Leaf Foods deployed SAP HANA in-memory technology to gain much faster insights on prices of food commodities.
Apache Spark offers fast speeds, integration with a variety of programming languages, and flexibility. But Spark vs. Hadoop MapReduce is not an either-or