Big Data Architecture Overview Cheat Sheet (DRAFT) by h4rkon

Patterns are everywhere and indicate best practices. Therefore patterns are not invented but found. The start of software design patterns began in the early nineties of the 20th century baseed on building archit­ectures and were first published as the famous gang of four design patterns. Ever since the idea of patterns grew and grew to a huge collection of thounsands of patterns in nearly every discipline and part - not only reduced to software develo­pment anymore. Just to mention it - patterns can be brought together in a compound to create new more high level patterns.

There are currently pattern collec­tions (or pattern languages) on different modern fields of software develo­pment like patterns for cloud computing, microservices and big data solutions. You can design a compelete solution and therefore consider all lessons learned, pitfalls, and best practices from the start.

This overview is an excerpt of the aproach to define a suitable Big Data solution enviro­nment archit­ecture. For further invest­iga­tions checkout several courses of Arcitura's Big Data School. A summary of all the presented inform­ation is readable on the Big Data Patterns Overview of Arcitura.