The Lean Data Stack — Tips & Tricks
The idea of the Modern Data Stack has become the de-facto standard for data platforms. This stack is widely used to collect first and third-party data, process, analyse and serve out data for purposes such as reporting, self-serve analytics and, increasingly, machine learning. The key components of the stack are data pipelines, a transformation engine, data storage in the form of a data lake or warehouse and something to “activate” this data by passing from the data warehouse to downstream systems.