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    Beautiful Data: The Stories Behind Elegant Data Solutions (Paperback) By (author) Toby Segaran, By (author) Jeff Hammerbacher

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    DescriptionIn 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; also learn how crowdsourcing and transparency have combined to advance the state of drug research; and, 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 and 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; and, Toby Segaran.


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  • Full bibliographic data for Beautiful Data

    Title
    Beautiful Data
    Subtitle
    The Stories Behind Elegant Data Solutions
    Authors and contributors
    By (author) Toby Segaran, By (author) Jeff Hammerbacher
    Physical properties
    Format: Paperback
    Number of pages: 382
    Width: 178 mm
    Height: 262 mm
    Thickness: 28 mm
    Weight: 839 g
    Language
    English
    ISBN
    ISBN 13: 9780596157111
    ISBN 10: 0596157118
    Classifications

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    B&T Modifier: Text Format: 02
    Warengruppen-Systematik des deutschen Buchhandels: 16320
    B&T Modifier: Text Format: 01
    LC subject heading:
    BIC subject category V2: UN
    LC subject heading:
    B&T Merchandise Category: COM
    B&T Modifier: Academic Level: 10
    BIC subject category V2: UMT
    DC22: 005.74
    Ingram Subject Code: XD
    B&T Approval Code: A93905500
    BISAC V2.8: COM021000
    B&T General Subject: 228
    Libri: DATA6500, DATE5300
    BISAC V2.8: COM021030, COM084000, COM030000
    LC subject heading:
    Libri: ANAL6030, DATE5100
    LC classification: QA76.9.D26 B425 2009
    Thema V1.0: UN, UMT
    Edition statement
    Original
    Illustrations note
    Illustrations (some col.), maps (some col.)
    Publisher
    O'Reilly Media, Inc, USA
    Imprint name
    O'Reilly Media, Inc, USA
    Publication date
    01 August 2009
    Publication City/Country
    Sebastopol
    Author Information
    Toby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences. Jeff Hammerbacher is Vice President of Products and Chief Scientist at Cloudera. Jeff was an Entrepreneur in Residence at Accel Partners immediately prior to co-founding Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. The Data team was responsible for driving many of the applications of statistics and machine learning at Facebook, as well as building out the infrastructure to support these tasks for massive data sets. The team produced two open source projects: Hive, a system for offline analysis built above Hadoop, and Cassandra, a structured storage system on a P2P network. Before joining Facebook, Jeff was a quantitative analyst on Wall Street. Jeff earned his Bachelor's Degree in Mathematics from Harvard University.