This talk, delivered at the IMC Summit Europe on June 21, is targeted at application developers who want to explore the use of in-memory computing for streaming analytics. The talk’s goal is to describe a key limitation (tracking streaming context) of current techniques (e.g., Spark streaming) and describe a new approach (implementing a digital twin using an in-memory data grid) that overcomes this limitation. It explains how the object-oriented architecture of in-memory data grids makes them well suited to applications that implement digital twins. The audience should gain an understanding of a new design technique for IMC applications, learn how to make use of it, and explore the advantages it offers for streaming analytics. The importance of the talk is that this technique provides leverage for developers that may force the big data community to rethink current approaches to stream processing.
