In-memory computing is comprised of two main categories: In-Memory Databases and In-Memory Data Grids. Nikita Ivanov, CTO of GridGain delves into the differences between the two and when to apply each technology.
By Nikita Ivanov, CEO of GridGain in Memory Computing. In the last 12 months we observed a growing trend that use cases for distributed caching are rapidly going away as customers are moving up stack… in droves. Let me elaborate by highlighting three points that when combined provide a clear reason behind this observation.
In this special guest feature, Anchita Magan from [x]cube DATA writes that the element of quality has to be considered in quantifiable data. Significance of Big Data The entire cosmos has been turned into an aggregated ocean of Data – structured or unstructured, systematic or unsystematic, useful or useless. This zillion of roughly organized data […]
Clipped from: www.datadrivenbiz.com (share this clip) To mark the launch of their Big Data for Enterprise conference (June 27-28, San Francisco), Data Driven Business has commissioned a FREE 5000 word report full of practical advice, recommendations and predictions from big data experts. The report includes insights on the current big data technology landscape – advice […]