This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove Data Engineering Remove Retail Remove Strategy Related Topics
Big Data Virtualization C++ Analytics Storage Google Innovation Programming Open Source Architecture More Related Topics >
article thumbnail

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207
Analytics C++ Innovation Engineering 207
article thumbnail

A case for ELT

Abhishek Tiwari

DECEMBER 22, 2017

Last but not least, ELT attracts a very different type of audience - data scientists who want to perform more exploratory analysis and ad-hoc interactive queries. This type of analysis is greatly eased by open source tools such RStudio, Jupyter, Zeppelin along with scripting languages R and Python.

Big Data 40
Big Data Retail Storage Google 40
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 5,000+ Insiders by signing up for our newsletter

About
About
Editions
Editions
Topics
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024