Codemotion is one of the biggest tech conferences in Europe with an international network of 40.000 developers and 350 speakers.
Christos Erotocritou, Solutions Architect of GridGain Systems will be presenting "Apache Ignite™ – In-Memory Data Fabric" on Friday, September 16th at 15:30pm
Join Rachel Pedreschi, Solution Architect at GridGain, to learn how to use GridGain with your existing Cassandra infrastructure to handle your own OLTP requirements.
Apache® Cassandra™ is a popular NoSQL database which promises an “always available” and scalable architecture that appeals to many distributed system developers. But Cassandra is not fast enough for some of today’s extreme OLTP workloads. It pulls data from disk and does not support in-memory workloads so it may not meet tight SLAs or solve extreme performance needs.
Apache Spark™ and Apache Ignite™ are two powerful solutions for high-performance Big Data and Fast Data. Using Spark and Ignite together is an easy way to boost performance by orders of magnitude for your next generation real-time applications. With Spark plus Ignite, you can share state across Spark jobs, applications, and workers and your Spark queries will also run much…
Rachel Pedreschi, Principal Solutions Architect at GridGain, will be presenting "Fast, in-memory SQL on Apache Cassandra with Apache Ignite"
We are exhibiting at Booth B5
High frequency trading is becoming much more intense as financial services companies compete on latency, performance and analytical complexity. High frequency, algorithmic and quantitative trading is becoming the norm.
High frequency trading is becoming much more intense as financial services companies compete on latency, performance and analytical complexity. High frequency, algorithmic and quantitative trading is becoming the norm.
Dmitriy Setrakyan, Apache Ignite Project Management Committee Chairman and co-founder and CPO at GridGain will be presenting "Better together: Fast Data with Apache Spark™ and Apache Ignite™"
This webinar will discuss how to use the GridGain In-Memory Data Fabric, which is built on Apache Ignite, to achieve these goals. Rachel Pedreschi, GridGain Solution Architect, will show you how:
Traditional data warehouse architectures and techniques are quickly becoming obsolete due to hardware and software technology innovations. In addition, users are much more demanding and sophisticated, requiring access to both transactional and analytical data in real-time.
Better together: Fast Data with Apache Spark™ and Apache Ignite™
Spark and Ignite are two of the most popular open source projects in the area of high-performance Big Data and Fast Data. But did you know that one of the best ways to boost performance for your next generation real-time applications is to use them together?
During this webinar, Dmitry Setrakyan will provide a deep dive into GridGain and Apache Ignite support for .NET. He will describe how these solutions can allow you to decrease data query times by 1,000x and massively scale out your .NET applications with in-memory computing.
Join the South Bay.NET group to listen to Nikita Ivanov, Founder of Apache Ignite and CTO of GridGain Systems, speak about Apache Ignite In-Memory Data Fabric for .NET.
Join Eric Karpman, a 30-year veteran of the financial services industry, as he shares how some of the world’s largest financial institutions use in-memory computing to address these challenges. You will learn how to leverage the latest in-memory computing advances to solve your regulatory challenges and how GridGain and Apache® Ignite™ can address your specific needs.
Regulatory tightening is required by Dodd Frank, Volker, Best Execution, Basel, MiFID, and CCAR. AML, KYC and fraud detection demand real-time compliance. Financial services organizations face unprecedented and growing technical challenges.