Spring Data Postroitel' (Spark it!) (part 2)

This talk is not about Spark or Big Data. It can be attributed to a series of rippers and builders. What are we going to build and gut at the same time today? Spring Data. It has leaked into most projects, bribing with its simplicity and convenient standard, which saves us from having to learn new syntax and approaches of different mechanisms.

Do you want to understand how Spring Data makes its magic? Let's try to write our analog. JPA, Mongo, Cassandra, Elastic, Neo4j, and other popular engines already have their starter for Spring Data, but somehow they forgot Spark. Let's fix this injustice. It's not a fact that something useful will turn out, but we will understand how Spring Data works.