Remove Data Engineering Remove Database Administration Remove Machine Learning Remove Systems Administration
article thumbnail

Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. This follows a 3% drop in 2018.

article thumbnail

Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. So, that’s kind of how I got introduced to databases and SQL systems.

Data 41