Data Mesh is a new architecture paradigm that gets a lot of buzzes these days. This blog post looks into this principle deeper to explore why no single technology is the perfect fit to build a Data Mesh. Examples show why an open and scalable decentralized real-time platform like Apache Kafka is often the heart of the Data Mesh infrastructure, complemented by many other data platforms to solve business problems.
Slides from my talk at NoSQL Roadshow 2013 in Zurich are online. NoSQL Roadshow is a great event series by Trifork, which offers a lot of NoSQL sessions and events all over the world.
“Getting Started with NoSQL” is a new book by PACKT PUBLISHING. It gives an introduction to different NoSQL concepts and products. Besides, it explains the differences to SQL databases and when to use which one. With 150 pages, the book is not extensive, but sufficient. It is a good introduction to NoSQL databases for developers, architects and decision makers.
In February 2013, I was at ApacheCon NA 2013 in Portland, Oregon, USA. My session was named “Systems Integration in the NoSQL Era with Apache Camel”. I showed how to integrate several different NoSQL databases such as MongoDB (document), Neo4j (graph), HBase (column), AWS S3 (key-value), or Hazelcast (in-memory).