[Pycon] [new paper] "Alexander Hendorf" - Databases for Data Science

[info a pycon.it]

Title: Databases for Data Science
Duration: 60 (includes Q&A)
Q&A Session: 15
Language: en
Type: Talk

Abstract: In this talk I'll present the usefulness of databases for data science projects. 

Databases have been around for decades and were highly optimised for data aggregations during that time. Not only _Big data_ has changed the landscape of databases massively in the past years - we nowadays can find many _Open Source_ projects among the most popular dbs. 

After this talk you will be enabled to decide if a database can make your work more efficient and which direction to look to.

Outline:
1. A quick recap on database history, 
   _it all starts in Florence - where else…_.
2. What is a database? What's a data store? data lake?…
3. Relational SQL systems and their benefits for DS
4. NoSQL systems and their benefits for DS
5. How to chose the db fitting your needs.





Tags: [u'database', u'data-structures', u'data-science', u'Deep-Learning']