CIO

JUNE 22, 2023

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 301

Industry UI/UX Telecommunications Quality Assurance 301

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

The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. In aggregate, data engineering usage declined 8% in 2019. Figure 3 (above).

Technical Review 139

Technical Review Microservices Data Engineering Architecture 139