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
Topic: In-memory computing
Explores how in-memory computing technologies enable real-time analytics.
Extreme Transaction Processing: Not Just for Wall Street
An extreme transaction processing system could be used for anything from mobile app purchases to ecommerce and the Internet of
How an Ecommerce Site Cut Latency to 0.07 Milliseconds
Ecommerce websites have a need for
How In-Memory Computing Enables Operational Intelligence (white paper)
Fast-changing data needs a fast computing
Case Study: Faster Analytics With In-Memory Tech
Analytics queries that used to take 12 hours can now be done within seconds using an in-memory
Why the Move to In-Memory Technology?
A majority of business managers regard in-memory technologies as critical to analytics
Podcast: How Data Grids Boost Operational Intelligence
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
How In-Memory Data Grids Turbocharge Analytics
As business goes digital, there's a growing market for in-memory data
Real-Time Pricing: How 15-Second Data Sells Sausages
Maple Leaf Foods deployed SAP HANA in-memory technology to gain much faster insights on prices of food commodities.
Why Apache Spark Is So Hot
Apache Spark offers fast speeds, integration with a variety of programming languages, and flexibility. But Spark vs. Hadoop MapReduce is not an either-or