Get a basic overview of data engineering and then go deeper with recommended resources.
How to use research to organize information intuitively.
Automate Everything, TDD Retention, Automating Programming, and System Design
Techniques for defining a product and building and managing a team.
“Human in the loop” software development will be a big part of the future.
Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them.
Learn why this new tool is a critical component in microservice-based architectures.
The clearest path to a product management role is at your current organization.
It's all about building an MVP.
The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy.
Get hands-on training in machine learning, software architecture, Java, Kotlin, leadership skills, and many other topics.
Explore TensorFlow’s applications and its community on July 17 at TensorFlow Day at OSCON.
Product managers are in hot demand and have myriad career options, from executive management to solutions consulting to just staying put.
We should take the impact our designs have on others' lives as seriously as we take the need for profit and competitive advantage.
Progressive organizations know that learning is as much about recruitment and retention as it is about development.
The importance of testing your tools, using multiple tools, and seeking consistency across various interpretability techniques.
It’s easy to imagine an AI winning a game of Go, but can you imagine an AI wanting to play a game of Go?
How sprints can help separate the good ideas from the bad.
The most successful product managers quickly develop three domains of knowledge: organizational, product, and industry.
The O’Reilly Data Show Podcast: Andrew Burt and Steven Touw on how companies can manage models they cannot fully explain.
We need to build organizations that are self-critical and avoid corporate self-deception.
David Hayes explains why adding a manageable dose of actionable intelligence to your operations management workflow can save you time and aggravation.
Kyle Kingsbury explores anomalies in three distributed systems and shares strategies for correctness testing using Jepsen.
Tracy Lee helps you think differently about how to increase diversity in technology with open source.
Nicole Forsgren shares results and stories behind high-performing technology-driven teams and organizations.
Focusing on a mix of artificial, scientific, and environmental sensing data, Aurelia Moser explores fantasy and farcical mapping.
Julia Grace shares how she learned to rapidly scale herself and her leadership team during a period of hypergrowth at Slack.
Dave Andrews explains how to wield the power of a global 50 Tbps application delivery network to ensure maximum availability during and after a change.
Brendan Eich asks what it would mean to the web if we start building products, apps, and systems that are private by default.
Oracle's Kyle York and Netra's Richard Lee discuss Netra’s high-performance computing environment.
Bryan Liles explains how to evaluate and integrate new declarative application management practices into continuous integration pipelines.
Kyle York explores the scale, complexity, and volatility of the internet and the risk it poses to your applications and infrastructure.
Watch highlights covering infrastructure, DevOps, security, and more. From the O'Reilly Velocity Conference in San Jose 2018.
Cory Doctorow says the right to configure technology is the signature right of the 21st century.
Kris Nova looks at the four metrics that help you decide if running stateful applications in Kubernetes is worth the risk.
Natalie Silvanovich discusses the link between feature complexity, developer error, and security vulnerabilities.
Lin Clark explains what browser vendors need to do over the next few years to ensure their browsers, and the web itself, meet upcoming demands.
Cherie Wong shares common developer pain points and recipes to solve them using AWS.
Scott Davis explains why accessibility should be just as important to you as a mobile design strategy was 10 years ago.
Javier Garza details the ingredients you need to build and deliver an app your users will love.
Cory Doctorow fields questions on the future of the web, privacy, and net neutrality.
Astrid Atkinson discusses techniques for building systems that are resilient by design.
Martin Woodward shares key data points from Microsoft's journey to DevOps.
Renee Orser explains how to monitor the human networks within your engineering teams using models similar to your distributed technology systems.
Tamar Bercovici details how the team at Box has constructed its database stack to handle an ever-growing query load and data set.
A look at a few ways to evaluate whether or not a design achieves what it set out to do.
Practical advice for software engineers and security consultants.
The benefits of modeling data as events as a mechanism to evolve our software systems.
How to identify when a fit has been achieved, and how to exit the explore stage and start exploiting a product with its identified market.
Taking blockchain technology private for the enterprise.
An overview of common design patterns for navigation that will ensure users can find and use features in an application.
An overview and framework, including tools that can be used to enable automation.
The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications.
Find new ways to gain insight into how your users interact.
Cast your vote for the top open source projects and communities through June 29.
Use cases of AI and ML to help businesses build better defenses today and in the near future.
Get hands-on training in machine learning, Python, Java, Kubernetes, product management, and many other topics.
This collection of AI resources will get you up to speed on the basics, best practices, and latest techniques.
The O’Reilly Podcast: Tammy Butow and Annie Lau on the importance of creating a culture of learning.