article thumbnail

The 10 highest-paying industries for IT talent

CIO

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s a broad range of roles that fall under the software industry, the most obvious ones being software developer and engineer.

Industry 303
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.

Insiders

Sign Up for our Newsletter

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

Trending Sources

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

DBA Future Trends: Cloud-Native and Automation

Datavail

DBAs that are evolving with the IT landscape are those who are expanding into areas outside of core database management, such as taking a deep dive on the public cloud platforms, exploring DevOps, and becoming familiar with more than one database technology. The role of DBAs has changed dramatically.

Trends 52
article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

Also: infrastructure and operations is trending up, while DevOps is trending down. These trends are also implicated in the rise of infrastructure and ops, which reflects both the limitations of DevOps and the challenges posed by the shift to cloud native design. A drill-down into data, AI, and ML topics. Coincidence?