GridGain technology evangelist Akmal Chaudhri will be speaking at the New York Kubernetes Meetup the evening Sept.
Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains.
Join us Sept. 26 at 6:30 p.m. for the inaugural gathering of the NYC In-Memory Computing Meetup! We'll be meeting at Guys American Kitchen and Bar on Times Square (we'll have a fully catered private room) for a talk featuring GridGain technology evangelist Akmal Chaudhri, PhD.
GridGain technology evangelist Akmal Chaudhri will speak at the Internet of Things (IoT) New York Meetup on Sept. 25 starting at 6:30 p.m. for a talk titled "Apache Spark and Apache Ignite: Where Fast Data Meets the IoT." The organizers are working on a location so stay tuned to the meetup's page for details.
If you are trusting a single datacenter to support your newest mission critical or cutting edge in-memory computing application, you may want to reconsider your strategy. No datacenter is 100% secure against natural disasters, hackers or just plain old human error. In order to maintain all the 9s of availability that you have promised, you need to hedge…
"Apache Spark, Ignite and Flink: Where Fast Data Meets the IoT." It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the surrounding environment and optimize your production systems.
GridGain technology evangelist Akmal Chaudhri will speak at the Cambridge .NET User Group Sept. 18. The title of his talk: "Scale Out and Conquer: Apache Ignite for .NET Users."
GridGain Systems product manager and Apache® Ignite™ PMC Chair Denis Magda will be the featured speaker at the SF Big Analytics Meetup on Sept. 13. Denis' talk is titled: "Apache Ignite: the in-memory hammer in your data science toolkit."
Apache® Ignite™ is the leading open source in-memory computing platform. Apache Ignite is deployed between the application and data layers and works with all common RDBMS, NoSQL and Hadoop® database to provide speed, scalability and high availability.
GridGain Systems product manager Denis Magda will be speaking at the Big Data and Cloud Meetup September 9 from 10 a.m. to noon. His talk is titled: "Apache Spark and Apache® Ignite™: Where Fast Data Meets the IoT." Location: Hacker Dojo, 3350 Thomas Road, Santa Clara, CA
If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite™ are open source frameworks that work exceedingly well together to achieve these goals.
It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.
It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.
It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.
It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.