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?
In-Memory Computing Blogs and Events
Data Dr. at SAP Booth
This year the SAP EIM Team will have our Data Doctors in full attendance. With two product management specialists and a technical go-to-market specialist it’s a sure bet you’ll walk away with a healthy data prescription. All you need to do to make a free 15min Data Doctor Appointment is to tweet “Sign me up for #SAPdatadoctor” and we will contact you. Not on Twitter? That’s OK, I’ll personally take care of scheduling your appointment. Just click here and I’ll receive your request and reach to you for confirmation!
- First Name and Last Name
- Time Requested (Hours Below)
- Current Environment
4:00 pm – 4:45 pm on 6/13
5:30 pm – 7:30 pm on 6/13…
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.
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
Large enterprises are often terribly inefficient. Software companies are no exception. As a company’s product portfolio expands, so does the potential for redundancies and inefficiencies in what is developed. Acquisitions bring forth new technology stacks, and ‘re-platforming’ typically delays an innovation roadmap for many quarters. Concepts around master data, integration, and other key processes can be inconsistent and may overlap, or can even be re-produced and re-imagined repeatedly.
What if internal development teams could be corralled to eliminate duplicate effort, realize massive economies of scale, and increase efficiency? What if this efficiency could result in lower development costs, quicker times to market, and a burgeoning ecosystem of work that operationalizes and monetizes much of your core intellectual property?
Microservices —a modern architectural style in use by a growing number of large software companies— is the proven way forward…
T-minus 4 months, 23 days and counting until the third-annual In-Memory Computing Summit, Oct. 24-25 in San Francisco (South San Francisco, to be precise).
Heads-up current Apache® Ignite™ users! Save this date and time: June 7 at 11 a.m. PT.
I recently joined GridGain as a Technology Evangelist. My role is to help build the global Apache® Ignite™ community and raise awareness through presentations and technical writing. My background is database systems and I have no previous experience with Apache Ignite. So, in this series of articles, I will share what I learned about Apache Ignite as a beginner and I hope that this will also be useful to other beginners. In this first blog post, I will cover clustering and deployment.
Attendees of SAPPHIRE NOW in Orlando can agree that the show had a palpable feel of urgency this year. Companies that have waited to start their journey to digital transformation are no longer in a position to consider it – the time is NOW, and there’s not a minute to lose. This was underscored by the launch of SAP Leonardo, a digital innovation system that integrates the latest technologies to enable innovation at scale. For companies that followed the call to digital years ago, Leonardo is the next step to making the most of your digital operations. For those who didn’t – well, based on the lines for the Leonardo demo snaking through the convention center – the competition is onto you.
My group, SAP Database and Data Management, houses some of the most important technology…
Peter Zaitsev, CEO and co-founder of Percona, says there are several key strategic benefits of using the Apache Ignite in-memory computing platform instead of Memcached, Redis, Elastic or even Apache Spark.
I had the opportunity this week to connect with Peter and ask him about this and more questions as he prepares for next month's In-Memory Computing (IMC) Summit in Amsterdam June 20-21.
Are you attending the Data Governance & Information Quality (DGIQ) Conference in San Diego? Learn how business leaders use data governance to create real time business decisions, govern your data lakes and discover the top data quality strategies for your live business. Learn how to turn your data into meaningful insights that improve decision making and harness digital disruption.
Join SAP’s Enterprise Data Management Global Vice President, Justin Litz as he explains the journey and transitioning strategy from an On-premise environment to a Cloud-based model. For more information on Justin’s keynote please find the session description here.
With its latest release, Apache Ignite 2.0 introduced support for DDL, redesigned off-heap memory architecture, distributed algebra, Spring data integration, support for Hibernate 5, Rocket MQ Integration, as well as plenty of improvements to the currently existing Apache Ignite feature set to enhance speed and performance.
With its latest release, Apache® Ignite™ 2.0 introduced support for DDL, redesigned off-heap memory architecture, distributed algebra, Spring data integration, support for Hibernate 5, Rocket MQ Integration, as well as plenty of improvements to the currently existing Apache Ignite feature set to enhance speed and performance.
Two of my colleagues -- Matt Sarrel, director of technical marketing, and Rachel Pedreschi, lead solutions architect -- are hosting a webinar tomorrow on the advantages of GridGain’s In-Memory Data Grid.