Technologies such as smart sensors and the Internet of Things (IoT) are enabling vast amounts of detailed data to be collected from scientific instruments, manufacturing systems, connected cars, aircraft and other sources. Dave Oswill, MATLAB product manager at MathWorks, shares how to integrate big data tools into your workflow.
Industry Perspectives
Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond
In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.
[READ MORE...]White Papers
2022 State of Data Engineering: Emerging Challenges with Data Security & Quality
The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.
Copyright © 2022