Dave Zwieback on learning reviews and humans keeping pace with complex systems
O'Reilly Radar Podcast: Learning from both failure and success to make our systems more resilient.
Latest from O’Reilly
Insights, practical guidance, and announcements from O'Reilly
Analytics without actions – why bother?
Streaming analytics are only worthwhile if the data leads to action.
Microsoft’s generational reset
The next cohort of developers never experienced Microsoft’s frustrating years; they’re ready for good years ahead.
Swift is open source and why you should care
An initial look at Apple's open source Swift language.
Bob Baxley on Apple and Pinterest, company cultures, and the designer shortage
The O’Reilly Design Podcast: Culture, competition, and design staffing.
Robert Brunner on designing and building great products
The O’Reilly Hardware Podcast: The critical role of design in creating iconic products and brands.
Fast data is the key to next-gen capital and risk management
Responding to today’s regulations requires modern data architecture.
The little book of HTML/CSS coding guidelines
Explore the ways that consistency and care can make the content and style you create today much easier to deal with when you—or someone else—return to it later.
7 design lessons from designing a design conference
From content to user research to minute details, here's what's going into the O'Reilly Design Conference.
IoT product development home runs
Running the technological bases to home plate.
Technology that gets under your skin: The next evolution of wearable tech
The interface between the manufactured world and humans is going to become almost invisible.
Data modeling constructs and terminology
Identification of data sources is the first step in warehouse development. In this video training segment, Michael Blaha provides a framework by reviewing data modeling constructs and terminology, including dependent and independent entity types. Using IE (information engineering) notation and the ERwin tool, Blaha walks through a sample operational data model.