In-Memory Computing — The Big Picture
Modern software must process tons of data and must provide low latency responsiveness to be able to compete. We've known for a long time that traditional databases cannot keep pace. In-memory computing is incredibly faster. Therefore, in-memory concepts have been added at every nook and cranny. However, the phrase in-memory computing is confusing. Why there are so many different solutions? Isn't it just a cache? Are there pitfalls? What is a local cache, when should I use a distributed cache? Are in-memory databases better? What actually is an in-memory data grid? In this session, you learn the basics and get a better overview.
Target Audience: Developers, Software Architects, IT Managers
Prerequisites: No prerequisites
Level: Basic
Product Owner
Markus entwickelt seit 20 Jahren mit seinem Team Developer-Tools für Java und alle wichtigen Datenbanksysteme sowie Individualsoftware für Endkunden. Er ist Product Owner der freien Eclipse-Distribution und visuellen Java-Entwicklungsumgebung RapidClipse sowie der Open-Source-Abfragesprache JPA-SQL. Markus ist Gründer und CEO von MicroStream.
