In-Memory: Speeding Up Value by Using Operational Intelligence

Share  
1 | 2 | 3 | 4 | 5 | 6 | 7
Previous Next

Click through for five ways in-memory technology can be used to benefit the organization, as identified by ScaleOut Software.

In-memory technology was around long before Big Data became a buzzword. Parallel computing dates back to the 1980s. With lower cost memory and greater workload demand, in-memory computing has emerged as a key technology. A diverse array of industries, such as finance, retail and ecommerce, looking to capture business opportunities in real-time, are turning to in-memory.

As Big Data has come to the forefront of the next wave of technological innovation, in-memory data grids have become a powerful tool. ScaleOut Software has identified five ways organizations can use in-memory technology. 

 

Related Topics : APC, Resellers, Data Replication, Extract Transform and Load, Structured Data Integration

 
More Slideshows

VoltDBDatabase0x SQL or NoSQL: Choosing the Best Solution for Your Needs

The two camps have evolved significantly, and the question still remains: When should you use a SQL-based database to solve your problem, and when should you turn to NoSQL? ...  More >>

RedisLabsRedisDev0x Five Key Takeaways for Developing with Redis

Redis, an open source data structure server, has proven to be one of the most popular options with developers among a bevy of modern database options for speed and performance. ...  More >>

IronMountainInfoMapping0x Eight Steps for Mastering Information Mapping

Did you know that 60 percent of records and information management professionals say their lack of an information map is an issue? ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.


 
Thanks for your registration, follow us on our social networks to keep up-to-date