Tech Talk: Using Hazelcast in The Kappa Architecture

This video looks at the Kappa Architecture and the role Hazelcast can play as the real-time streaming & serving layers.

About this course

Many Industries need to quickly view and process big data. Previously tools such as Hadoop allowed the processing of large data sets, but at high latency; and stream processing systems processed small amounts of data very fast. Recently new architectures have been suggested to combine both of these to provide a single solution for big and fast data. This presentation looks at the Kappa Architecture and the role Hazelcast can play as the real-time streaming & serving layers. It also discusses a new architecture configuration, code named Mu, that builds on the Kappa and Lambda Architectures. Oliver Buckley-Salmon is an experienced architect, developer, and consultant with over 15 years experience in the IT industry working in all areas of the software lifecycle. He has worked in capital markets, corporate finance, government, telecommunications, and retail.

About this course

Many Industries need to quickly view and process big data. Previously tools such as Hadoop allowed the processing of large data sets, but at high latency; and stream processing systems processed small amounts of data very fast. Recently new architectures have been suggested to combine both of these to provide a single solution for big and fast data. This presentation looks at the Kappa Architecture and the role Hazelcast can play as the real-time streaming & serving layers. It also discusses a new architecture configuration, code named Mu, that builds on the Kappa and Lambda Architectures. Oliver Buckley-Salmon is an experienced architect, developer, and consultant with over 15 years experience in the IT industry working in all areas of the software lifecycle. He has worked in capital markets, corporate finance, government, telecommunications, and retail.