GigaSpaces’ Vice President of Product and Strategy, Ali Hodroj, spoke at last Thursday’s Washington DC Area Apache Spark Interactive about Hybrid Transactional/Analytical Processing with Spark & In-Memory Data Fabrics. DOWNLOAD FULL PRESENTATION HERE Let’s talk HTAP Increasingly, businesses are trying to
We’re on our way to Spark Summit 2016 taking place in Brussels between October 25-27. Drop by our booth, meet the GigaSpaces team and hear all about our suite of mission-critical application transaction processing and real-time analytics products to provide
We’re on our way to Spark Summit 2016 taking place in Brussels between October 25-27. Drop by our booth s12, meet the GigaSpaces team and hear all about our suite of mission-critical application transaction processing and real-time analytics products to
In the third quarter of 2016, GigaSpaces entered a new sphere as we completed the two-stage process of expanding our ecosystem, enhancing the value proposition of our IMC product line. From our point of view, it was a necessary step. One that we
What’s the benefit of flight delay prediction? For clients, it gives a more accurate expectation about flight time, thus allowing them to plan their time accordingly. For airline companies, it shows where they can minimize flight delays ,thereby minimizing expenses and increasing customers
A couple of weeks ago we launched InsightEdge, introducing you to our high performance Spark distribution enterprise-grade OLTP capabilities. In this blog post, we will create a demo application for a taxi price surge use case that runs real-time analytics on a
In the modern digital enterprise, business insights must happen in real time. Many of the applications we want to gain insight from and to optimize generate a deluge of data at very high throughput and micro intervals–business transactions, geospatial coordinates,
Machine learning has become quite the popular buzzword these days. Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction – in commercial use, this is known