Watch this deep-dive webinar to learn how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of Spark RDD abstraction provided in Apache Ignite™.
Learn how to easily share state in memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of Spark RDD abstraction provided in the latest release of Apache Ignite™ in an upcoming webinar on February 3, 2016 at 11:00 AM PDT / 2:00 PM EDT.
Christos Erotocritou, Solutions Architect at GridGain Systems, will be presenting and introduction to Apache Ignite™ at the Docklands.LJC; a group within the main London Java Community that focuses on the developer community in and around Docklands.
Are you ready for a deep dive into Apache Ignite™, the high-performance, distributed in-memory data fabric that massively boosts application performance and scale?
Are you ready for a deep dive into Apache Ignite™, the high-performance, distributed in-memory data fabric that massively boosts application performance and scale?
Join us in Sunnyvale, CA to learn how Apache Ignite™ is dramatically increasing the speed and scale of big data apps through the power of in-memory computing. This meetup will feature three in-memory computing experts and open source visionaries who regularly speak at industry conferences.
The on-demand webinar is designed for people responsible for data processing performance at financial services companies. We will examine a real-life use case of a major global bank that has achieved one billion ACID transactions per second using only commodity hardware and the GridGain In-Memory Computing Platform.
Are you considering in-memory computing technology to accelerate your big data apps? If so, you may be overwhelmed with all the potential solutions available to you. Should you go with a complete data fabric, or will a basic data grid suffice? Should you look strictly at commercial apps, or should you consider open source?
The on-demand webinar is designed for people responsible for data processing performance at financial services companies. We will examine a real-life use case of a major global bank that has achieved one billion ACID transactions per second using only commodity hardware and the GridGain In-Memory Computing Platform.
QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community.
A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.
Come visit GridGain at booth #5000 of JavaOne October 25-29, 2015, as we sponsor the premier conference dedicated to leading applications built on the Java platform. Register to win a self-balancing electric scooter.
Are you considering in-memory computing technology to accelerate your big data apps? If so, you may be overwhelmed with all the potential solutions available to you. Should you go with a complete data fabric, or will a basic data grid suffice? Should you look strictly at commercial apps, or should you consider open source?
Back by popular demand, Nikita Ivanov, CTO of GridGain Systems will discuss and demonstrate the various ways you can boost performance and scale of SQL-based applications using the leading open source in-memory data fabric — Apache Ignite™ at 11:00 AM PT / 2:00 PM ET on September 28.
See Nikita Ivanov speak about Apache Ignite™ at the Storage Developer Conference in Santa Clara, CA September at 10:35 AM PT on Monday 9/21. This presentation will provide a deep dive into new Apache project: Apache Ignite™.