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

2013 Data Science Salary Survey

2013 Data Science Salary Survey

What tools do successful data scientists and analysts use, and how much money do they make? We surveyed hundreds of attendees at the O'Reilly Strata Conferences in Santa Clara, California and New York to understand. What tools should you be learning and using? Read this valuable report to gain insight from these potentially career-changing findings.

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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

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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Introduction to Online Payments Risk Management

Introduction to Online Payments Risk Management

If you've been tasked with building a team to handle risk management for online payments (RMP), this practical introduction provides a framework for choosing the technologies and personnel you need. Author and financial services executive Ohad Samet explains the components of payments risk management, and presents a coherent strategy and operational approach.

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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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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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The Changing Role of the CIO

The Changing Role of the CIO

Does Big Data represent an existential threat to CIOs? Yes, quite possibly. For the past three decades, corporate CIOs have served primarily as stewards and guardians of IT infrastructure. Big Data -- together with cloud, social and mobile computing -- throws the value of legacy IT infrastructure into question and undermines the traditional authority of CIOs over the systems they have championed.

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Big Data

Big Data Now 2013 Edition

Big Data Now 2013 Edition
Current Perspectives from O'Reilly Media

In Big Data Now: 2013 Edition, we pulled together our top posts from the O'Reilly Data blog from late fall 2012 through late fall 2013. In 2013, "big data" became more than just a technical term for scientists, engineers, and other technologists—the term entered the mainstream on a myriad of fronts, becoming a household word in news, business, health care, and people's personal lives.

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Disruptive Possibilities: How Big Data Changes Everything

Disruptive Possibilities
How Big Data Changes Everything

Hortonworks' solution engineer Jeff Needham's detailed report on implications of the big data ecosystem and how big data will inundate vendors & customers: where commercial supercomputing came from, where it is and its impact on the future of computing.

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What Is Data Science?

Cloudera Impala

Learn about Cloudera Impala—an open source project that's opening up the Apache Hadoop software stack to a wide audience of database analysts, users, and developers. The Impala massively parallel processing (MPP) engine makes SQL queries of Hadoop data simple enough to be accessible to analysts familiar with SQL and to users of business intelligence tools—and it's fast enough to be used for interactive exploration and experimentation.

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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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Real-Time Big Data Analytics: Emerging Architecture

Real-Time Big Data Analytics
Emerging Architecture

The data world was revolutionized when Hadoop and other tools made it possible to query results in minutes. Analysts now demand sub-second, near real-time results. This report examines the tools and technologies driving real-time big data analytics.

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