How In-Memory Computing Enables Operational Intelligence (white paper)
Fast-changing data needs a fast computing
Topic: In-memory computing
Explores how in-memory computing technologies enable real-time analytics.
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
In-Memory Processing: Building Real-Time Data Pipelines
MemSQL uses a trinity of Apache Kafka, Apache Spark, and its own platform to build real-time data pipelines. Here's
In-Memory Speeds Up the Real-Time Bidding Process
Real-time bidding, also known as programmatic ad buying, is becoming an increasingly popular practice in the world of advertising technology. Digital media …