Data mesh is one of the most popular architectures for data platforms that many are exploring today. This session will help you get an understanding of this self-servicing data platform in a streaming context using Apache Flink SQL or a streaming database.

Today, data meshes are often implemented as batch pipelines. This session will show why a streaming data mesh is the better approach.

SQL is the universal language for data. It makes data accessible to a large spectrum of data related roles. SQL enables these data personas to use the power of SQL on streaming data.

One of the hardest parts to building any data mesh is to enable domains that are new to data the ability to build data products. They often don’t have the tools and sometimes lack the skills needed to replace a data engineer. This session will introduce Flink SQL as an easy way to enable domains to be good tenants in a streaming data mesh.