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  • 1
    Language: English
    Pages: 1 online resource (viii, 72 p.) , ill.
    Keywords: Electronic data processing ; Management ; Database management ; Electronic books ; Electronic books ; local
    Abstract: In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The broad industry changes heralded by the big data era What big data is, what it means to your business, and how to start solving data problems The software that makes up the Hadoop big data stack, and the major enterprise vendors' Hadoop solutions The landscape of NoSQL databases and their relative merits How visualization plays an important part in data work
    Note: "Nutshell handbook."
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  • 2
    Online Resource
    Online Resource
    Sebastopol, Calif. : O'Reilly
    Language: English
    Pages: 1 online resource (xii, 93 p.) , ill., maps.
    Parallel Title: Erscheint auch als
    Keywords: Information visualization ; Electronic books ; Electronic books ; local
    Abstract: Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences-the designer, the reader, and the data-shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types
    Note: "Intentional communcation from data to display"--Cover. - Includes bibliographical references (p. 85-90). - Description based on print version record
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  • 3
    Online Resource
    Online Resource
    Sebastopol, Calif. : O'Reilly Media
    Language: English
    Pages: 1 online resource (xvi, 397 p.) , ill., maps.
    Edition: 1st ed.
    Parallel Title: Erscheint auch als
    Keywords: Information visualization ; Electronic books ; local
    Abstract: With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. Think of the familiar map of the New York City subway system, or a diagram of the human brain. These older examples have been surpassed artists, designers, commentators, scientists, analysts, statisticians, and others who show how visualizations using today's digital capabilities can help us make sense of the world.
    Note: Description based on print version record. - Includes bibliographical references and index
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781449306311
    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Does information really want to be free? While the Internet is full of open data, there's plenty of data that companies are willing to pay handsomely for - particularly if it's timely and well aggregated. As a result, data marketplaces are a burgeoning business. This panel will look at the market for data, and where it's headed.
    Note: Online resource; Title from title screen (viewed March 1, 2011)
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  • 5
    ISBN: 9781491931103 , 1491931108
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Clothing trade ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: While many dismiss the fashion industry as frivolous, it's a very big, demanding, and profitable business-projected to create $3.75 trillion in revenues in 2016. Today's fashion industry has embraced big data analytics in every part of the product lifecycle. In this updated O'Reilly report, you'll learn how fashion brands and startups alike are using data in shrewd ways that other industries would do well to incorporate. By interviewing experts throughout the industry, Liza Kindred and Julie Steele reveal that fashion companies are finding ways to turn self-expression and identity -two things that are difficult to quantify-into actionable data. You'll learn that fashion's success in this endeavor is partly based on a willingness to pursue difficult data techniques, such as visual search and natural language processing. This report also explores: The challenges of using algorithms to predict style preferences How fashion companies are using natural language processing What startups are doing to capture structured data from photographs How companies are digitally tackling the fit of menswear The value in using in-store smart fixtures to collect and share data Liza Kindred is the founder of fashion tech think tank Third Wave Fashion, editor of Third Wave Magazine , the world's first print magazine dedicated to fashion tech and wearables, and the author of the upcoming O'Reilly book How We Buy Now . Julie Steele is Director of Communications at Silicon Valley Data Science and coauthor of Beautiful Visualization and Designing Data Visualizations (both O'Reilly).
    Note: Description based on online resource; title from title page (viewed January 3, 2019)
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  • 6
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: Second edition.
    Keywords: Database management ; Management information systems ; Information resources management ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: More organizations today, public and private alike, are embracing the role of Chief Data Officer (CDO), not only to manage the way they gather, store, and protect data, but also to generate new business value through a coordinated data strategy. In this updated and expanded report, Julie Steele of Silicon Valley Data Science examines how CDOs at different types of organizations view a role that, while still evolving, is now coming into clear focus. Through more than a dozen enlightening interviews with current and former CDOs at organizations such as Samsung, Zynga, Citizen's Bank, Allstate, Seattle Children's Hospital, and New York State, this report concentrates on guidelines and best practices for organizations looking to add their own CDO. With this report, you'll explore: How CDOs are moving from data governance to data strategy, driving business value through new products and services Expanding CDO responsibilities, such as advocating for data-driven approaches and setting priorities for data-driven projects The CDO's challenge of keeping up with a rapidly shifting tech landscape while navigating politics in many divisions and departments The relationships between CDOs and CIOs, chief risk officers, and data stewards among different organizations How to find CDO candidates who have the technology chops, business thinking, political skills, and executive-level experience you need Julie Steele is Director of Communications at Silicon Valley Data Science and coauthor of Beautiful Visualization and Designing Data Visualizations (both O'Reilly).
    Note: Description based on online resource; title from title page (viewed March 16, 2017)
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