Our annual analysis of the O’Reilly online learning platform reveals Python’s continued dominance and important shifts in infrastructure, AI/ML, cloud, and security.
O’Reilly survey highlights the increasing attention organizations are giving to data quality and how AI both exacerbates and alleviates data quality issues.
Roger Magoulas looks at developments in automation, hardware, tools, model development, and more that will shape (or accelerate) AI in 2020.
A look into what robotic process automation (RPA) is, why it matters, and why it’s garnered so much recent interest.
O’Reilly survey results indicate demand for serverless will grow in the near term as a worthwhile infrastructure option for many organizations.
Cloud native, security, performance, and SRE are areas of emphasis for the O’Reilly Velocity Conference in Berlin.
Machine learning, artificial intelligence, data engineering, and architecture are driving the data space.
Growing adoption of microservices, cloud, containers, and orchestration signal a paradigm shift that we're calling Next Architecture.
Using aggregate analysis of O’Reilly online learning content usage and search data, Roger Magoulas shares key insights that impact the technology tools ecosystem.
Roger Magoulas explains how O’Reilly’s Radar methodology identifies emerging tech trends businesses need to know.
Jeff Wong on choosing to embrace change rather than feeding the dialogue of fear.
Cloud native, AI/ML, and data tools and topics are areas of emphasis for the O’Reilly Open Source Software Conference.
Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference.
Survey results reveal the path organizations face as they integrate cloud native infrastructure and harness the full power of the cloud.
Mapping the complex forces that are reshaping organizations and changing the employee/employer relationship.
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
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.
How variables like job title, location, tools, and tasks affect salary and other compensation.
Tools, trends, titles, what pays (and what doesn’t) for design professionals
Roger Magoulas reveals key findings from the 2016 O'Reilly Design Salary and Tools Survey.
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