The security data lake
Leveraging big data technologies to build a common data repository for security
Data
Our take on the ideas, information, and tools that make data work.
Entities move data from tables to knowledge
Cleaning and combining fields can turn messy data into actionable insight.
Telling your data’s story
How storytelling can enhance the effectiveness of your visualizations.
Data APIs, design, and visual storytelling
One example of how using a data API can lead to better visualizations.
Navigating the Hadoop ecosystem
A field guide to the Apache Hadoop projects, subprojects, and related technologies.
Recent performance improvements in Apache Spark
The goal is to offer a single platform where users can get the best distributed algorithms for any data processing task.
Processing frameworks for Hadoop
How to decide which framework is best for your particular use case.
How data and connectivity are changing the nature of play
Now that technology has made its way into the playroom, there are a lot of important questions we should be asking.
A tale of two clusters: Mesos and YARN
With Myriad, analytics can be performed on the same hardware that runs your production services.
A million rows isn’t cool. You know what’s cool? A billion rows.
Changing your frame of reference when starting with SQL on Hadoop.
Network structure and dynamics in online social systems
Understanding information cascades, viral content, and significant relationships.
There is room for global thinking in IoT data privacy matters
The best of European and American data privacy initiatives can come together for the betterment of all.
Improving on the Lambda Architecture for streaming analysis
Using fast, scalable relational databases to build event-oriented applications.
Getting started with data science in the cloud
Learn how to manipulate data, and construct and evaluate models in Azure ML, using a complete data science example.
The evolution of GraphLab
The O'Reilly Data Show Podcast: Carlos Guestrin on the early days of GraphLab and the evolution of GraphLab Create.
It’s not just about Hadoop core anymore
For maximum business value, big data applications have to involve multiple Hadoop ecosystem components.
Lessons from next-generation data wrangling tools
Drawing inspiration from recent advances in data preparation.
Top keynotes at Strata Conference and Strata + Hadoop World 2014
From data privacy to real-world problem solving, O’Reilly’s data editors highlight the best of the best talks from 2014.
Women in Data
Women in data and technology are no longer outliers or anomalies; they are entering the mainstream and excelling where technical skills, advanced education, and no small amount of personal tenacity and brilliance are the minimum requirements.
Big Data Now: 2014 Edition
Our annual wrap-up of important developments in the big data field.
Building Apache Kafka from scratch
In this episode of the O'Reilly Data Show Podcast, Jay Kreps talks about data integration, event data, and the Internet of Things.
Data: Emerging Trends and Technologies
How sensors, fast networks, AI, and distributed computing are affecting the data landscape
The science of moving dots: The O’Reilly Data Show Podcast
Rajiv Maheswaran talks about the tools and techniques required to analyze new kinds of sports data.
The big data sweet spot: Policy that balances benefits and risks
Deciding what data to collect is hard when consequences are unpredictable.