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Beautiful Data: The Stories Behind Elegant Data Solutions-Jeff Hammerbacher

Beautiful Data: The Stories Behind Elegant Data Solutions-Jeff Hammerbacher

★★★★★ 4.5/5
530,000+ Happy Customers
  • Manufactured by
    Bradley
This manual provides comprehensive information for the [Vehicle Make] [Vehicle Model], produced between [Start Year] and [End Year]. Engineered for [Intended Usage], this vehicle is recognized for its exceptional reliability and innovative features, including [Notable Feature 1] and [Notable Feature 2]. Its robust construction and advanced technology ensure a superior driving experience, making it a distinguished choice in its class.

The purpose of this manual is to serve as a definitive guide for owners, technicians, and mechanics. It covers essential maintenance procedures, detailed troubleshooting steps, critical technical specifications, and vital safety guidelines. By following the instructions within this document, users can effectively maintain the vehicle's performance, ensure its longevity, and address any potential issues with confidence and precision.

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.

With Beautiful Data, you will:

  • Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
  • Learn how to visualize trends in urban crime, using maps and data mashups
  • Discover the challenges of designing a data processing system that works within the constraints of space travel
  • Learn how crowdsourcing and transparency have combined to advance the state of drug research
  • Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data
  • Learn about the massive infrastructure required to create, capture, and process DNA data

That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:

  • Nathan Yau
  • Jonathan Follett and Matt Holm
  • J.M. Hughes
  • Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava
  • Jeff Hammerbacher
  • Jason Dykes and Jo Wood
  • Jeff Jonas and Lisa Sokol
  • Jud Valeski
  • Alon Halevy and Jayant Madhavan
  • Aaron Koblin with Valdean Klump
  • Michal Migurski
  • Jeff Heer
  • Coco Krumme
  • Peter Norvig
  • Matt Wood and Ben Blackburne
  • Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen
  • Lukas Biewald and Brendan O'Connor
  • Hadley Wickham, Deborah Swayne, and David Poole
  • Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza
  • Toby Segaran
  • Author: Segaran, Toby Author: Hammerbacher, Jeff Publisher: O'Reilly Media Illustration: N Language: ENG Title: Beautiful Data: The Stories Behind Elegant Data Solutions Pages: 00386 (Unencrypted EPUB) On Sale: 2009-10-06 SKU-13/ISBN: 9780596157111 Category: Computers : Data Modeling & Design Category: Computers : General Category: Computers : Desktop Applications - General


    In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.

    With Beautiful Data, you will:

    • Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
    • Learn how to visualize trends in urban crime, using maps and data mashups
    • Discover the challenges of designing a data processing system that works within the constraints of space travel
    • Learn how crowdsourcing and transparency have combined to advance the state of drug research
    • Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data
    • Learn about the massive infrastructure required to create, capture, and process DNA data

    That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:

  • Nathan Yau
  • Jonathan Follett and Matt Holm
  • J.M. Hughes
  • Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava
  • Jeff Hammerbacher
  • Jason Dykes and Jo Wood
  • Jeff Jonas and Lisa Sokol
  • Jud Valeski
  • Alon Halevy and Jayant Madhavan
  • Aaron Koblin with Valdean Klump
  • Michal Migurski
  • Jeff Heer
  • Coco Krumme
  • Peter Norvig
  • Matt Wood and Ben Blackburne
  • Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen
  • Lukas Biewald and Brendan O'Connor
  • Hadley Wickham, Deborah Swayne, and David Poole
  • Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza
  • Toby Segaran
  • Author: Segaran, Toby Author: Hammerbacher, Jeff Publisher: O'Reilly Media Illustration: N Language: ENG Title: Beautiful Data: The Stories Behind Elegant Data Solutions Pages: 00386 (Unencrypted EPUB) On Sale: 2009-10-06 SKU-13/ISBN: 9780596157111 Category: Computers : Data Modeling & Design Category: Computers : General Category: Computers : Desktop Applications - General

    Beautiful Data: The Stories Behind Elegant Data Solutions-Jeff Hammerbacher

    Beautiful Data: The Stories Behind Elegant Data Solutions-Jeff Hammerbacher

    ★★★★★ 4.5/5
    530,000+ Happy Customers
    • Manufactured by
      Bradley
    This manual provides comprehensive information for the [Vehicle Make] [Vehicle Model], produced between [Start Year] and [End Year]. Engineered for [Intended Usage], this vehicle is recognized for its exceptional reliability and innovative features, including [Notable Feature 1] and [Notable Feature 2]. Its robust construction and advanced technology ensure a superior driving experience, making it a distinguished choice in its class.

    The purpose of this manual is to serve as a definitive guide for owners, technicians, and mechanics. It covers essential maintenance procedures, detailed troubleshooting steps, critical technical specifications, and vital safety guidelines. By following the instructions within this document, users can effectively maintain the vehicle's performance, ensure its longevity, and address any potential issues with confidence and precision.

    In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.

    With Beautiful Data, you will:

    • Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
    • Learn how to visualize trends in urban crime, using maps and data mashups
    • Discover the challenges of designing a data processing system that works within the constraints of space travel
    • Learn how crowdsourcing and transparency have combined to advance the state of drug research
    • Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data
    • Learn about the massive infrastructure required to create, capture, and process DNA data

    That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:

  • Nathan Yau
  • Jonathan Follett and Matt Holm
  • J.M. Hughes
  • Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava
  • Jeff Hammerbacher
  • Jason Dykes and Jo Wood
  • Jeff Jonas and Lisa Sokol
  • Jud Valeski
  • Alon Halevy and Jayant Madhavan
  • Aaron Koblin with Valdean Klump
  • Michal Migurski
  • Jeff Heer
  • Coco Krumme
  • Peter Norvig
  • Matt Wood and Ben Blackburne
  • Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen
  • Lukas Biewald and Brendan O'Connor
  • Hadley Wickham, Deborah Swayne, and David Poole
  • Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza
  • Toby Segaran
  • Author: Segaran, Toby Author: Hammerbacher, Jeff Publisher: O'Reilly Media Illustration: N Language: ENG Title: Beautiful Data: The Stories Behind Elegant Data Solutions Pages: 00386 (Unencrypted EPUB) On Sale: 2009-10-06 SKU-13/ISBN: 9780596157111 Category: Computers : Data Modeling & Design Category: Computers : General Category: Computers : Desktop Applications - General


    In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.

    With Beautiful Data, you will:

    • Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
    • Learn how to visualize trends in urban crime, using maps and data mashups
    • Discover the challenges of designing a data processing system that works within the constraints of space travel
    • Learn how crowdsourcing and transparency have combined to advance the state of drug research
    • Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data
    • Learn about the massive infrastructure required to create, capture, and process DNA data

    That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:

  • Nathan Yau
  • Jonathan Follett and Matt Holm
  • J.M. Hughes
  • Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava
  • Jeff Hammerbacher
  • Jason Dykes and Jo Wood
  • Jeff Jonas and Lisa Sokol
  • Jud Valeski
  • Alon Halevy and Jayant Madhavan
  • Aaron Koblin with Valdean Klump
  • Michal Migurski
  • Jeff Heer
  • Coco Krumme
  • Peter Norvig
  • Matt Wood and Ben Blackburne
  • Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen
  • Lukas Biewald and Brendan O'Connor
  • Hadley Wickham, Deborah Swayne, and David Poole
  • Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza
  • Toby Segaran
  • Author: Segaran, Toby Author: Hammerbacher, Jeff Publisher: O'Reilly Media Illustration: N Language: ENG Title: Beautiful Data: The Stories Behind Elegant Data Solutions Pages: 00386 (Unencrypted EPUB) On Sale: 2009-10-06 SKU-13/ISBN: 9780596157111 Category: Computers : Data Modeling & Design Category: Computers : General Category: Computers : Desktop Applications - General