Modern data strategy and CERN
Cloudera's Mike Olson and CERN's Manuel Martin Marquez discuss how CERN is using Hadoop to help drive operational efficiency for the Large Hadron Collider.
Insights, practical guidance, and announcements from O'Reilly
Cloudera's Mike Olson and CERN's Manuel Martin Marquez discuss how CERN is using Hadoop to help drive operational efficiency for the Large Hadron Collider.
Learn how federated analytics is helping cancer research teams analyze large genomics and patient data sets, while preserving patient data privacy and intellectual property.
Broad inter-domain awareness about which problems can be solved using deep learning techniques plays a key role in data analytics development.
Joe Hellerstein explains why we now take a relativistic view data, where the meaning of data depends on the context in which it is used.
Martin Willcox explains why data management, data integration, and multigenre analytics are essential for driving business value from IoT initiatives.
Learn about automating the tedious yet essential task of testing a complex app in this excerpt from Learning Swift.
Patrick Hebron offers an introduction to contemporary machine-learning systems and explores how these emerging capabilities will transform the next generation of computing interfaces.
The O'Reilly Radar Podcast: Emerging themes in the data space.
Prioritizing and evaluating data sources for ROI.
The future of construction will be inspired by social insects.
Many people own older computers, have slow connections, or struggle with physical disabilities that prevent them from accessing today’s newer sites and apps. How do you strike a balance in your design to include everyone?
This chapter from the book Optimized C++ discusses performance-tuning principles to optimize string handling functions, which are among the most used features of the C++ standard library.