Data Resources – Making Data Work

Welcome to the essential training and information source for data science and big data—with books, in-person and online events, reports, industry news, and much more. Client-Side Data Storage Client-Side Data Storage Getting Started with SQL Getting Started with SQL Building Data Science Teams Building Data Science Teams Learning to Love Data Science Learning to Love Data Science Fast Data: Smart and at Scale Fast Data: Smart and at Scale SQL and Relational Theory SQL and Relational Theory
Third Edition Data Preparation in the Big Data Era Data Preparation in the Big Data Era
by Federico Castanedo Data Analytics with Hadoop Data Analytics with Hadoop Cassandra Design Patterns Cassandra Design Patterns
Second Edition Agile Data Warehouse Design Agile Data Warehouse Design Real Time Analytics with SAP HANA Real Time Analytics with SAP HANA Graphing Data with R Graphing Data with R
by John Hilfiger


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Data News

Jai Ranganathan on architecting big data applications in the cloud

By Ben Lorica
November 19, 2015

Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Given the quick pace of innovation in the data ecosystem, we like to take a step back from the details of …

Building systems for massive scale data applications

By Ben Lorica
November 5, 2015

Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Many of the open source systems and projects we’ve come to love — including Hadoop and HBase — were inspired by …

Turning big data into actionable insights

By Ben Lorica
October 22, 2015

Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Can developments in data science and big data infrastructure drive corporate innovation? To be fair, many companies are still in the …

Get started with cloud-based data science

By Stephen Elston
October 22, 2015

Download the free, updated report “Data Science in the Cloud with Microsoft Azure Machine Learning and R: 2015 Update.“ Cloud-based machine learning platforms, like Microsoft’s Azure Machine Learning (Azure ML), provide a simplified path to create and deploy analytic solutions. …

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Data Experts

Paco Nathan Paco Nathan is the Chief Scientist and Vice President of Research and Development for Symbiot.

C. Todd Lombardo C. Todd Lombardo As an Innovation Architect at Constant Contact's InnoLoft, he facilitates product and service design sprints for a wide range of external startups and internal product teams. C. Todd is also a member of the adjunct faculty at Madrid's prestigious IE Business School where he teaches courses on Creativity, Innovation, Design-Thinking…

Ben Jones Ben Jones Ben Jones is the Director of Tableau Public Product Marketing at Tableau Software in Seattle and he is also a data blogger at DataRemixed. Ben is the author of "Communicating Data with Tableau". Ben leads a team of data analysts that work with journalists and bloggers to share interactive data…

Colin Gillespie Colin Gillespie Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. He has been running R courses for over five years at a variety of levels, ranging from beginners to advanced programming. During his academic career, he has also been employed as an external consultant at Shell, Burberry, Yorkshire Bank,…

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Video Compilation - Available Now

Strata Conference video compilation

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Gain a clear perspective on the future of big data--and all the analytics, architectures, techniques, tools, and technologies you need to use data successfully. With this complete video compilation, you'll get a front-row seat to the keynotes, workshops, and sessions at O'Reilly's Strata Conference Santa Clara 2014.

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Data Science Books

The tools you need to get started with data—from basic statistics to complex modeling and large-scale analytics.

"'Data Scientist' is now the hottest job title in Silicon Valley."

– Tim O'Reilly

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Data Webcasts
Learn directly from data experts. Join us for these free, live webcasts.

Secure Because Math? Challenges on Applying Machine Learning to Security
December 8, 2015 - 10AM PT,

Doing the work: Practical approach to Data Preparation for Advanced Analytics and Machine Learning.
December 8, 2015 - 10AM PT,

Building a Continuously Curated Ingestion Pipeline: Recipes for Success
December 9, 2015 - 10AM PT,

Intelligent Integration: How HP Vertica Uses Apache Kafka and Spark to Gain Quicker Business Insights
December 10, 2015 - 10AM PT,

Eliminating the Data Bottleneck in Procurement
December 14, 2015 - 10AM PT,

Hybrid Data Architectures: Unified Hadoop Data Management — From Cloud-to-Ground
December 15, 2015 - 10AM PT,

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