Word of the Day: Tech Definitions from WhatIs.com

Dec 1 2016   9:34PM GMT


Margaret Rouse Margaret Rouse Profile: Margaret Rouse

Data Science

DataOps (data operations) is an approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production. Continued…

Quote of the Day

“DataOps is a data management method that emphasizes communication, collaboration, integration, automation and measurement of cooperation between data engineers, data scientists and other data professionals.” – Andy Palmer

Learning Center
Up-and-coming data engineers complement entrenched data scientists
Data engineers come online to do data wrangling and programming. They join vaunted data scientists, who focus more on math and analytics.

Experts advise on data science for business teambuilding
A modern data science for business team should acknowledge that you can’t find all the skills you need in one person. A diverse team can deliver better results.

Emerging: DataOps and three tips for getting there
DataOps and Agile analytics enjoyed a bit of the spotlight at the third annual Boston Data Festival: The Data Mill reports.

Data science team building 101: Cross-functional talent key to success
At BigData TechCon in Boston, data scientists discussed approaches to solving today’s new data analytics problems. A data science team leader touted team-based approaches.

Building data science teams takes skills mix, business focus
Analytics managers offered advice on building data science teams as part of a Strata + Hadoop World 2016 panel discussion on finding and retaining data scientists.

Related Terms
data scientist
data engineer

Related Tags
Data stewardship
Enterprise data architecture best practices

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