all AI news
How to Build a 5-Layer Data Stack
July 21, 2023, 3:52 p.m. | Barr Moses
Towards Data Science - Medium towardsdatascience.com
Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale.
Like bean dip and ogres, layers are the building blocks of the modern data stack.
Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline.
Unlike ogres, …
adoption author build building components data data engineering data platform data-platforms data product data science data stack drive image modern modern data stack platform product scale stack tooling water
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Data Engineer (m/f/d)
@ Project A Ventures | Berlin, Germany
Principle Research Scientist
@ Analog Devices | US, MA, Boston