Remove Data Remove Data Engineering Remove Database 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

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 199
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 most in-demand enterprise IT skills

CIO

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its used for web development, multithreading and concurrency, QA testing, developing cloud and microservices, and database integration.

UI/UX 203
article thumbnail

DBeaver takes $6M seed investment to build on growing popularity

TechCrunch

CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources. Krupenya says this capability puts data administration in reach of not just the most technical data engineers, but also people in other lines of business roles, who normally might not have access to tools like this.

article thumbnail

Appian Extends Low-Code Approach to Aggregating Data

DevOps.com

At an online Appian World conference, Appian today unveiled an update to its low-code platform that adds a set of visual tools that enables developers to aggregate data within an application with the help of a database administrator (DBA) or data engineering team.

article thumbnail

The 10 highest-paying industries for IT talent

CIO

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

Industry 183
article thumbnail

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. A drill-down into data, AI, and ML topics.