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.

Mind the Gap: 3 Ways to Fill Your Data Management Talent Shortage

TIBCO - Connected Intelligence

Yet when it comes to filling today’s pervasive data management talent shortage, minding the gap often seems like a journey without a destination. . Radically simplify your complex data management processes. Take your data integration process for example. Reading Time: 3 minutes.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. 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.

Viva Las Vegas: Ten Sure Technology Bets for 2020?Part 4

TIBCO - Connected Intelligence

To win the data game, it helps to deal yourself four aces. In my last blog , I shared your first two aces, adaptive data architecture and agile methods. Your Third Ace: Advanced Data Management Technology. With data the common denominator across all of them.

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

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

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.

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.