GigaSpaces’ Vice President of Product and Strategy, Ali Hodroj, will be speaking about Hybrid Transactional/Analytical Processing with Spark & In-Memory Data Fabrics at LA Apache Spark Users Group Meetuproup Meetup on November 10th, 2016. When and Where Date: November 10, 2016 Time: 7:00 pm - 10:00 pm Venue: DataScience, Inc 200 Corporate Pointe, [...]
As published on Da tanami, in the past few years, IT leaders and C-level executives have associated ”big data” with looking at historical information with a fresh set of eyes. The concept has been to delve further into transactions retrospectively to identify trends, and draw heretofore unrecognized actionable insights, based [...]
Consumers have a love/hate relationship with sharing their location ― more precisely, sharing their geolocation. With services such as Facebook and Twitter, location sharing is “almost” a default option, whereas sites such as PleaseRobMe.com warn about the dangers of over-sharing our location information.Putting consumer interest in the sliding scale of [...]
After having the opportunity to present this topic at the recent Big Data Expo in Utrecht, Netherlands (and a few other expos) I thought it would also be a good time to share my thinking with the online community. Data storage & processing has always been a dominant concern for any enterprise and with [...]
Written by Alex Woodie, IT Jungle Magic Software recently launched a new release of its application development and runtime framework that features in-memory data grid (IMDG) technology. The IMDG - which will eventually support IBM i - will bolster the scalability, stability, and elasticity of applications developed with xpa Application [...]
One of the hottest use cases we see these days is an extended capacity in-memory cluster, or in other words fast data. This means we can have a cluster of multiple TB (that is too big to store in- memory only) and still perform real time (few millisecond) calculations with [...]
Today we see more and more applications that are no longer built on relational databases but now built on distributed environments. This occurs because they need to be scalable, highly available and they also need to be able to provide high throughput and low latency that cannot be achieved with [...]
From time to time, I like to visit NoSQL conferences and talk to people from the community to see how they solve their problems. I guess I find it more neutral to do this sometimes, as opposed to speaking to our customers, as they might be biasedJ. In any case, [...]
One thing to remember about Flash is that unlike traditional hard drives, there is much going on under the covers. To read and write a block on a hard drive, the head moves to the appropriate position on the drive and then reads or writes the block as it rotates [...]
In the past few years, almost every function of our lives has become dependent on real time applications. Whether it is updating our friends on every move we make via social media, shopping on e-commerce websites, expecting instant results from finanicial and governmental websites; we have become completely dependent on [...]
Let's first clarify what a key/value store and an object store are. Using the traditional block storage interface, one has a series of fixed size blocks which are numbered starting at 0. Data must be that exact fixed size and can be stored in a particular block which is identified [...]
We are excited to announce a joint partnership with SanDisk today! With this partnership we have built a new product – called XAP MemoryXtend, that basically gives you extreme processing but at lower costs. How did it all start? We all know that there’s a growing need for faster processing [...]
The heartbleed issue has come up a few times in conversation over the last week, so I wanted to clear things up a little. The bottom line: change your passwords on any site you use that appears in the list below. A few more details: - Heartbleed is a bug [...]
NoSQL databases provide vast storage and high availability, but at the cost of losing transactions, relational integrity, consistency, and read performance. This post presents an architecture that combines and in-memory datagrid as a high performance transactional layer to a NoSQL database, providing a complete application platform with the high scalability [...]
As discussed in previous posts, GigaSpaces XAP supports near linear scalability of distributed data caches and grid processing algorithms. GigaSpaces can also deploy web application servers in the same highly available, self-healing environment in which it manages data caches, distributed computing algorithms, and remote software services. This example will show how to build, [...]
