What’s next for BDAS (the Berkeley Data Analytics Stack)?
Michael Franklin offers an overview of the Berkeley Data Analytics Stack, outlines the current directions it’s taking, and settles once and for all how BDAS should be pronounced.
Data
Our take on the ideas, information, and tools that make data work.
Open by design, open for data
Open source software is a key source of innovation for companies, and the cloud is becoming the medium to enhance the benefits of open source.
Connected brains
Joseph Sirosh looks at how brains connected with sensors to the cloud and machine learning could revolutionize a field of medicine.
Advanced analytics and the mystery of the missing jeans
Learn how different types of data, from cubes of structured data to live video streams from mobile systems, combine with analytical technology to inform the questions that can be answered.
Apache Hadoop meets cybersecurity
Learn how organizations are turning toward the open source ecosystem to break down traditional cybersecurity analytics and data constraints.
Nonsense science
Paula Poundstone offers a unique perspective on technology and data science.
Thinking like a Bayesian
Julia Galef outlines the most important principles of thinking like a Bayesian.
Strata + Hadoop World in San Jose 2016 livestream
Watch keynotes from Strata + Hadoop World in San Jose.
Using commerce data to fuel innovation
Bruce Andrews from the U.S. Department of Commerce explains how commerce data can catalyze progress.
Apache Hadoop at 10
2016 marks the 10th anniversary of Apache Hadoop. This milestone provides us an opportunity to reflect on how we got here and where we are going.
Machine learning for human rights advocacy: Big benefits, serious consequences
The same machine learning methods used to learn about customers, improve speech recognition, and identify cat faces can also be applied to questions about conflict violence.
Delivering information in context
Ian Andrews explores why delivering information in context is the key to competitive differentiation in the digital economy.
Cameron Turner on the sound of data
The O’Reilly Hardware Podcast: Measuring and interpreting audio data.
Data, technology, and the future of play
Understanding the smart toy landscape.
Designing data models for Cassandra
Jeff Carpenter and Eben Hewitt design a data model for a sample application and represent it in CQL.
Rachel Kalmar on data ecosystems
The O’Reilly Hardware Podcast: Collecting, sharing, and accessing data from sensors.
Logs and real-time stream processing
Chapter 3 from I Heart Logs.
10 data trends on our radar for 2016
Promising topics in data that we'll be watching closely in the year ahead.
Strata + Hadoop World in Singapore 2015 livestream
Watch keynotes from Strata + Hadoop World in Singapore 2015.
How the Internet of Things impacts big data strategies
Use cases from Harley Davidson, Google, and Barcelona.
Private and open data in Asia: A regional guide
Risk vs opportunity: An overview of the current state of big data and open data in the five countries that make up the bulk of the East Asian Internet-using population: China, Japan, Korea, India, and Indonesia.
Evaluating Machine Learning Models
A beginner's guide to key concepts and pitfalls.
“Terra incognita” is no excuse
Awareness of data policies and priorities in Asia is key to business in the region.
Data science for mission
CIA Chief Information Officer Douglas Wolfe on why data science is a team sport, and how the rapid evolution of the field continually improves the impact of the CIA mission.