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. Overly simplistic venn diagram with data scientists and data engineers.

DataOps and the Problem with ‘Ops’ Terminology

The New Stack

Although there are differences , at its core DataOps is DevOps processes applied to data operations. Automation of data pipelines and collaboration between teams are two of the key characteristics of “modern” DataOps. Data DevOps Research

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DataOps and the Problem with ‘Ops’ Terminology

The New Stack

Although there are differences , at its core DataOps is DevOps processes applied to data operations. Automation of data pipelines and collaboration between teams are two of the key characteristics of “modern” DataOps. Data DevOps Research

Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Around 14 years ago, Clive Humby , a mathematician and data scientist said: “ Data is a new oil ”. Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it.

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5 Positions Companies Need To Navigate Digital Transformation

N2Growth Blog

Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. Database Administrator (DBA). Systems Engineer.

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. Data gives you benefits.