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Beautiful Data

The Story Behind Elegant Data Solutions

Paperback Engels 2009 9780596157111
Verkooppositie 9506
Verwachte levertijd ongeveer 8 werkdagen

Samenvatting

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; 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.

Specificaties

ISBN13:9780596157111
Taal:Engels
Bindwijze:paperback
Aantal pagina's:364
Uitgever:O'Reilly
Druk:1
Verschijningsdatum:31-7-2009
Hoofdrubriek:IT-management / ICT

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Over Toby Segaran

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.

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Over Jeff Hammerbacher

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.

Andere boeken door Jeff Hammerbacher

Inhoudsopgave

Preface

1. Seeing your life in data
- Nathan Yau
2. The beautiful people: keeping users in mind when designing data collection methods
- Jonathan Follett and Matt Holm
3. Embedded image data processing on Mars
- J.M. Hughes
4. Cloud storage design in a pnutshell
- Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava
5. Information platformsd and the rise of the data scientists
- Jeff Hammerbacher
6. The geographic beauty a photographic archive
- Jason Dykes and Jo Wood
7. Data finds data
- Jeff Jonas and Lisa Sokol
8. Portable data in real time
- Jud Valeski
9. Surfacing the deep web
- Alon Halevy and Jayant Madhavan
10. Building Radiohead's house of cards
- Aaron Koblin with Valdean Klump
11. Visualizing urban data
- Michal Migurski
12. The design of sense.us
- Jeff Heer
13. What data doesn't do
- Coco Krumme
14. Natural language corpus data
- Peter Norvig
15. Life in data: The story of DNA
- Matt Wood and Ben Blackburne
16. Beautifying data in the real world
- Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen
17. Superficial data analysis: exploring millions of social stereotypes
- Lukas Biewald and Brendan O'Connor
18. Bay area blues: The effect of the housing crisis
- Hadley Wickham, Deborah Swayne, and David Poole
19. Beautiful political data
- Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza
20. Connecting data
- Toby Segaran

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