Data Science Operational Considerations
From Federal Burro of Information
Introduction
Data science is so hot right now.
making charts, visualizaintg, storaging data , the SQL, the big data, the machine leanring.
There lots of smart people who are out thre doing the work, answering questions, asking new questions, making reports and infographics.
But how is it all organized?
How do you lie with it over the months and years an ogranization might live, how does the knowledge and data survive over time ?
I want to go over some of the thigns to think abut when managing data for an organizaiotn.
1. ontologies 2. data dictionaries 3. data catalogs 4. hypothesis catalogs 5. stories
References and Reading
https://en.wikipedia.org/wiki/Ontology_(information_science)
