Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.
Roger Magoulas is VP of Radar at O’Reilly. He works to support O’Reilly’s mission to spread the knowledge of innovators by using qualitative and quantitative methods to track technology adoption trends and communicate those trends both inside the company and to O’Reilly’s customers.
Radar spots and explores emerging technology themes so organizations can succeed amid constant change.
Analysis of the O’Reilly online learning platform reveals a new approach to technical architecture, the rise of blockchain, and shifts in programming language adoption.
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Roger Magoulas shares insights about the open source tools ecosystem based on analysis of usage and search data from O'Reilly's learning platform.
AI, Python, Java, blockchain, and cloud technologies are active topics on O’Reilly’s online learning platform.
Find out what pays and what doesn't for software engineers, developers, and other programming professionals.
Tools, trends, what pays (and what doesn’t) for data professionals in Europe
Tools, trends, titles, what pays (and what doesn’t) for design professionals
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
Find out what pays and what doesn't for programming professionals.
Roger Magoulas reveals key findings from the 2016 O'Reilly Design Salary and Tools Survey.
O’Reilly Media conducted an anonymous online survey of salaries of designers, UX specialists, and others in the design space. This in-depth report presents complete survey results that demonstrate how variables such as job title, location, use of specific tools, and the types of tasks performed affect salary and other compensation.
Tools, trends, what pays (and what doesn’t) for data professionals.
Tools, trends, what pays (and what doesn't) for data professionals.
Tools, Trends, What Pays (and What Doesn't) for Data Professionals