Running Spark on the mainframe can be advantageous because data is co-located. One use is fraud
Topic: In-memory computing
Explores how in-memory computing technologies enable real-time analytics.
An extreme transaction processing system could be used for anything from mobile app purchases to ecommerce and the Internet of
Ecommerce websites have a need for
Fast-changing data needs a fast computing
Analytics queries that used to take 12 hours can now be done within seconds using an in-memory
A majority of business managers regard in-memory technologies as critical to analytics
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
As business goes digital, there's a growing market for in-memory data
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