GigaSpaces

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So far GigaSpaces has created 23 blog entries.

GigaSpaces to Speak at LA Apache Spark Users Meetup

By |2020-09-30T12:07:59+00:00October 26, 2016|

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, [...]

Bridging the Gap between Insight and Action

By |2020-09-30T14:55:09+00:00August 23, 2016|

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 [...]

Posted in PC360: “A deluge of geolocation data is coming. Are you prepared?”

By |2020-10-04T07:14:02+00:00May 9, 2016|

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 [...]

Posted on IT Jungle – Magic Goes In-Memory With App Framework

By |2020-10-04T07:58:13+00:00July 8, 2015|

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 [...]

Aggregations in Distributed In-Memory Grids

By |2020-10-04T09:10:03+00:00October 1, 2014|

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 [...]

What is the Best API for Flash

By |2020-10-04T09:23:07+00:00July 24, 2014|

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 [...]

How to do real time complex query on Big Data – Ron Zavner

By |2020-10-04T09:24:29+00:00July 8, 2014|

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 [...]

Heartbleed bug and you – by Barak Merimovich

By |2020-10-04T09:44:50+00:00April 26, 2014|

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 [...]

NoSQLNoCompromises

By |2020-10-04T09:47:39+00:00March 26, 2014|

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 [...]

Guest Post by Patrick May: Scaling the Web Tier

By |2020-10-04T09:49:44+00:00February 26, 2014|

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, [...]