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 331
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.

Insiders

Sign Up for our Newsletter

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

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

Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data 87
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 306
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

Most Popular Big Data and Data Science Development Services

KitelyTech

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User Data Collection. User data collection is data about a user who is collected for market research purposes.