We've compiled the best data insights from O'Reilly editors, authors, and Strata speakers for you in one place,
so you can dive deep into the latest of what's happening in data science and big data.

Data Science

Data Visualization: A New Language for Storytelling

Data Visualization: A New Language for Storytelling

This report examines different ways that data scientists and analysts use visualizations not only for presentation, but also as a key step in the early stages of data analysis.

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Data: Emerging Trends and Technologies

Data: Emerging Trends and Technologies

In this report from Strata + Hadoop World co-chair Alistair Croll, you'll learn how the ubiquity of cheap sensors, fast networks, and distributed computing have given rise to several developments that will soon have a profound effect on individuals and society as a whole.

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2014 Data Science Salary Survey

2014 Data Science Salary Survey

For the second year, O'Reilly Media conducted an anonymous survey to expose the tools successful data analysts and engineers use, and how those tool choices might relate to their salary. We heard from over 800 respondents who work in and around the data space, and from a variety of industries across 53 countries and 41 U.S. states.

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On Being a Data Skeptic

On Being a Data Skeptic

"Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical—it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'"

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Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work

Analyzing the Analyzers
An Introspective Survey of Data Scientists and Their Work

We surveyed several hundred data science practitioners on the varieties of skills, experiences, and viewpoints in this emerging community. Read the findings to get a better understanding of the diversity of practitioners and the value of clearer communication around roles, teams, and careers.

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What Is Data Science?

What Is Data Science?
The Technologies, Companies, and Unique Skill Sets

Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science—the technologies, the companies and the unique skill sets.

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Business, Industry, and Culture

Fashioning Data

Fashioning Data
How fashion industry leaders innovate with data and what you can learn from what they know

The fashion industry traditionally starts on the runway with designs that appear in stores six months later, with cheaper knockoffs to follow. But as this O'Reilly report shows, consumers are now an integral part of the full fashion cycle—even before some styles come to fruition—as fashion innovators find new ways to bring data analytics to the industry.

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Business Models for the Data Economy

Business Models for the Data Economy

In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.

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The Culture of Big Data

The Culture of Big Data

Technology does not exist in a vacuum. In the same way that a plant needs water and nourishment to grow, technology needs people and process to thrive and succeed. Culture (i.e., people and process) is integral and critical to the success of any new technology deployment or implementation.

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How Data Science Is Transforming Health Care

How Data Science Is Transforming Health Care
Solving the Wanamaker Dilemma

This paper explores how data analysis will help us structure the business of health care more effectively around outcomes, and how it will transform the practice of medicine by personalizing for each specific patient.

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Big Data

Innovation, Security, and Compliance in a World of Big Data

Innovation, Security, and Compliance in a World of Big Data

Is it possible to achieve a fair balance between the data security and rapid business innovation? Through interviews with data experts, this report examines solutions for making big data safe and keeping it private.

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Fast Data and the New Enterprise Data Architecture

Fast Data and the New Enterprise Data Architecture

How can organizations accommodate fast data? Author Scott Jarr examines the new enterprise data architecture--working with fast data in motion along with static big data--and outlines the major technology components necessary to build it.

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Migrating Big Data Analytics into the Cloud

Migrating Big Data Analytics into the Cloud

Our recent survey of IT and data professionals in finance, healthcare, technology, and telecom illustrates the way they plan to use big data in the cloud, with predictive analytics leading the charge--and explains why some are still reluctant to join the migration.

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Planning for Big Data

Planning for Big Data
A Handbook to the Changing Data Landscape

As big data transitions from the bleeding edge to enterprise infrastructure, this guide helps you understand not only the technologies involved, but the organizational and cultural demands of being data-driven.

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