In praise of boredom
Maria Konnikova argues for the importance of recapturing the nothingness of boredom and harnessing the pauses of life for their creative potential.
Data
Our take on the ideas, information, and tools that make data work.
What does it take to apply data science for social good?
Jake Porway, founder and executive director of DataKind, unveils five keys for successful data-science-for-good projects.
What the White House needs from you
U.S. Chief Data Scientist DJ Patil reflects on data, government, and citizens.
A transition to interactive music consumption plus data
Joy Johnson sees a future where fans customize their music and artists receive data-driven feedback.
Context computing
Jeff Jonas on how context can lead to high-quality predictions.
Strata + Hadoop World NYC 2015 livestream
Watch the keynotes in real time on Wednesday, September 30 and Thursday, October 1.
Three best practices for building successful data pipelines
Reproducibility, consistency, and productionizability let data scientists focus on the science.
Music science
How data and digital content are changing music.
Learning Paths: a new way to build data skills
Logical and well-crafted collections of data video courses get you where you need to go.
What it means to “go pro” in data science
A look at what it takes to be a professional data science programmer.
How an enterprise begins its big data journey
An ETL offload solution addresses the challenges of data overload, rising costs, and the skills gap.
How trains are becoming data driven
Railways are at the intersection of Internet and industry.
Big data, small cluster
Finding new ways to shrink disk space for storing partitionable data.
The key to agile data science: experimentation
A real-world example of how a short delivery cycle fosters creativity.
The truth about MapReduce performance on SSDs
Cost-per-performance is approaching parity with HDDs.
Data modeling with multi-model databases
A case study for mixing different data models within the same data store.
Pivot tables in Python
Pivot tables are an incredibly handy tool for exploring tabular data.
Unpacking technical jargon in machine learning
A new report explores how to evaluate your machine learning models.
Why data preparation frameworks rely on human-in-the-loop systems
The O'Reilly Data Show Podcast: Ihab Ilyas on building data wrangling and data enrichment tools in academia and industry.
Dimensionality reduction at the command line
Introducing Tapkee, an efficient command-line tool and C++ library for linear and nonlinear dimensionality reduction.
Create your graphs with R
A deep-dive into exploratory and presentation graphs.
Apache Spark: Powering applications on-premise and in the cloud
The O'Reilly Data Show Podcast: Patrick Wendell on the state of the Spark ecosystem.
Validating data models with Kafka-based pipelines
A case for back-end A/B testing.
Announcing Cassandra certification
A new partnership between O’Reilly and DataStax offers certification and training in Cassandra.