While traditional data warehouses excel at sourcing data from enterprise applications, they usually fail at handling the volume, velocity and variety of data for modern analytics applications relying on Big and Fast Data. Instead of modeling these data sources into a system that doesn't fit, let's apply a new software design pattern to analytics: microservices. Microservices are…

We produce quite a lot of data. Some of this data comes in the form of business transactions and is stored in a relational database. This relational data is often combined with other non-structured, high volume and rapidly changing datasets known in the industry as Big Data. The challenge for us as data integration professionals…