In-Memory Computing With Apache Ignite
Apache Ignite is an integrated and distributed In-Memory Data Fabric for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies. It is designed to easily power both existing and new applications in a distributed, massively parallel architecture on affordable, industry-standard hardware. Apache Ignite addresses today's Fast Data and Big Data needs by providing a comprehensive in-memory data fabric, which includes a data grid with SQL and transactional capabilities, in-memory streaming, an in-memory file system, and more.
Christos Erotocritou is the principal solutions architect for GridGain in EMEA. Having worked as a software engineer and architect both in consulting services and a number of software companies specialising in high-performance in-memory computing he has hands-on experience with a broad range of technologies as well as use cases across a number of industry verticals. He has a passion and motivation for solving complex problems and finding new innovative ways to use technology. He is a subject matter expert in in-memory computing and Big Data with an MSc in Artificial Intelligence. He has been an active speaker for a number of years at a range of international conferences promoting various technology concepts and more recently Apache Ignite.