CIO

JUNE 22, 2023

There’s a demand for skills such as cybersecurity, cloud, IT project management, UX/UI design, change management, and business analysis. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.

Industry 299

Industry UI/UX Telecommunications Quality Assurance 299

O'Reilly Media - Data

APRIL 11, 2018

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.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Along with R , Python is one of the most-used languages for data analysis. there’s a Python library for virtually anything a developer or data scientist might need to do. In the generic software architecture topic, usage in the containers topic increased in our 2019 analysis, growing by 17%.

Technical Review 140

Technical Review Microservices Data Engineering Architecture 140