Archive
June 2017

This is the fourth article in this blog series and I will focus this time on the Streaming component of Apache Ignite. Streaming Grid Streaming represents data that continuously enters a system. The quantity of data may vary in size. The challenge is to store the streamed data and process it without running out of memory. To achieve this processing, the concept of a sliding window is used. This…

The first annual In-Memory Computing (IMC) Summit Europe wrapped last week in Amsterdam with some 200 attendees from 24 countries gathering to hear keynotes and breakout sessions on a broad range of in-memory computing topics. Experts from several companies – including, ING, Barclays, Misys, NetApp, Fujitsu and JacTravel – presented topics spanning in-memory computing for financial services,…

GridGain 8.1, announced last week, is a turnkey release that makes GridGain and Apache® Ignite™ the only platforms on the market that combine a distributed SQL database with an in-memory key-value data grid.  The latest release extends the unique SQL capabilities of the GridGain platform with expanded SQL Data Definition Language (DDL) capabilities added to its existing DML and ACID transaction…

Next week Amsterdam is home to a two-day conference attended by experts, architects and vendors looking to stay at the forefront of in-memory computing and distributed systems evolution. Yes, I'm talking about the first-annual In-Memory Computing (IMC) Summit Europe which runs June 20-21.  But two full days aren't enough for MySQL experts -- I'll be presenting at the MySQL User Group NL June 20…

Figure 1 shows a high-level component view of Apache Ignite. So far in this blog series, I have briefly discussed Clustering and Deployment and the Data Grid. Figure 1. Main components of Apache Ignite I mentioned in the previous article that I could cover the SQL Grid next. However, because of late-breaking developments, I have postponed this for a few weeks. Instead, I will focus on the…

I'm excited to announce that in addition to the strong lineup of previously announced keynote addresses, this year’s In-Memory Computing Summit Europe will feature a keynote by Tim Wood, head of HPC and Model Integration at ING Financial Markets, speaking on “Where Does In-Memory Computing Fit in Banking.” We also added activities and sponsors. The two-day summit, held at the Mövenpick Hotel…

Apache Spark is a hugely popular open source cluster computing framework that has taken off like wildfire since it was introduced to the Apache community. It's a key tool for working with streaming data, machine learning and graph analytics. Spark's rapid adoption has been breathtaking and it has become the primary engine for processing big data. The excitement was palpable at Spark Summit 2017…

Real-time data analysis is critical to the success of modern financial services companies. And that can be challenging due to ever-growing volumes of data. Big data is constantly getting bigger.   Tune-in to our June 14 webinar at 11 a.m. Pacific time for a live conversation and learn how financial institutions are using GridGain’s in-memory computing platform, built on Apache® Ignite™, to…

In-memory technology has been around for quite some time but developing backend architectures that optimize memory first for modern applications is just starting to become predominantly acknowledged as a prudent approach. Why is this so optimal? Find out and learn much more about in-memory computing at the relaunch of the "Bay Area In-Memory Computing Meetup" June 13 from 6:30-8:30 p.m. at …

If you’re in IT and working for a bank or financial institution with a growing e-banking audience, then Lieven Merckx has a story that you’ll be very interested in. A 32-year veteran IT architect, Lieven works with the team that’s been strengthening electronic retail banking offerings at ING Bank Belgium with in-memory computing technologies to meet rapidly growing customer demand for mobile…

In the previous article, I discussed my motivation for writing this blog series. Also presented was the high-level component view of Apache® Ignite™, shown in Figure 1. Figure 1. Main components of Apache Ignite The previous article also briefly introduced Clustering and Deployment. This article will focus on the Data Grid. Data Grid In Apache Ignite, a Data Grid can be thought of as a…