Beautiful Data: The Stories Behind Elegant Data Solutions (Theory In Practice, #31)
Enlarge cover
Rate this book
Clear rating

Beautiful Data: The Stories Behind Elegant Data Solutions (Theory In Practice)

by
3.58 of 5 stars 3.58  ·  rating details  ·  139 ratings  ·  16 reviews
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 inv...more
Paperback, First Edition, 384 pages
Published July 28th 2009 by O'Reilly Media (first published January 1st 2009)
more details... edit details

Friend Reviews

To see what your friends thought of this book, please sign up.

Community Reviews

(showing 1-30 of 602)
filter  |  sort: default (?)  |  rating details
Vadiraj
Database to Dataspace, Story of Large scale DB at Facebook
Allisonperkel
"Beautiful Data" is a collection of essays on data; how people have transformed it, worked within its confines, and offers a glimpse of where we might go. Many of the essays are wonderful snippets into how some people perceive data while others fall flat. Overall its a mostly enjoyable read that helps open up your mind to new potentials.

First a disclaimer; I am not a data person. However I've been involved, fairly heavily, in the data field. In the parlance of the world, I'm a back end person....more
Sundarraj Kaushik
Beautiful Data Edited by Toby Segaran and Jeff Hammerbacher
The first chapter is a description of two projects by Yahoo. The first one captures the area throug which the user is travelling. The aim is to show the user how much of pollution the user has been subject to. The challenge was to show the exposure levels along with the movements and stopping of the user. A variety of techniques were used before finally arriving at a way of overlaying the exposure as a coloured line and showing the locat...more
Radovan Kavický
This is a collection of 20 different stories about data - gathering, planning, interpreting, storing, visualizing, etc.

The case study methodology points out the necessity of designing all phases of the data capture, processing, analysis and representation process around the goals, open questions and constraints of the client organization, or user/consumer of the data whose decisions are being informed. The thinking and design process behind these cases of beautiful data are fully described--this...more
Andrew Magee
Lots of interesting stuff, though lots of annoying and tiresome filler.
Vasil Kolev
The book has three kinds of chapters - crap, somewhat OK and amazing.

The bad chapters are hand-waving and nothing new or interesting, mostly fodder, but are easy to spot. The amazing on the other hand (like the one by Peter Norvig) give you some great insights and ideas what can be done, and show it very well.

Also, some people over-use the word 'beautiful' which makes them sound like a (very) bad love poem.
Andrew Doran
Thought-provoking collection of essays about different aspects of data. The book was a bit slow to start but soon picked up and covered a variety of thought-provoking topics. Although I feel that it just scratched the surface and the whole book isn't greater than the sum of its parts, frequent changes of subject with each chapter worked to its benefit and kept me interested.
Johan
This one's a keeper. An excellent book offering insightful surveys of what people are doing with data these days.

My favorite chapters are: "Seeing Your Life in Data", "Information Platforms and the Rise of Data Scientists", "Portable Data in Real Time", "Visualizing Urban Data", "Natural Language Corpus Data", and "Superficial Data Analysis"
Albert
A thought-provoking tour of recent data-intensive research. I found it most useful for its "aha" and "I should have thought of that" moments. I also appreciated the numerous external references to free datasets and data processing tools.
Trevor
"Natural Language Corpus Data", "What Data Doesn't Do", and "Connecting Data" were my favorite articles. I also liked the idea of using Second Life for easy scientific 3D visualization in "Beautifying Data in the Real World".
Vuk Trifkovic
Always tough when you deal with edited volume, but good book overall. I expected bit more from some chapters, but good idea of what is going on overall.
Don
great collection of academic papers and conference talk notes. the facebook/hadoop paper was especially interesting.
Fixxxer
Loved the chapters by Nathan Yau, Peter Norvig, on Radiohead's House of Cards and on the NASA Mars Explorers!
Valerie


Many of chapters were way above my head. Was interesting nonetheless
Phil Chen
Cool examples of data and data handling.
Kyle
Apr 23, 2010 Kyle marked it as to-read
Guy
Oliver
Oliver marked it as to-read
Jul 20, 2014
Mateusz
Mateusz marked it as to-read
Jul 20, 2014
Vaibhaw Chandel
Vaibhaw Chandel marked it as to-read
Jul 17, 2014
Bouchra
Bouchra marked it as to-read
Jul 15, 2014
Mari
Mari marked it as to-read
Jul 15, 2014
Ben
Ben marked it as to-read
Jul 08, 2014
Liz
Liz marked it as to-read
Jul 03, 2014
Kelly
Kelly marked it as to-read
Jun 26, 2014
« previous 1 3 4 5 6 7 8 9 20 21 next »
There are no discussion topics on this book yet. Be the first to start one »
  • Beautiful Visualization: Looking at Data through the Eyes of Experts (Theory In Practice, #39)
  • Data Analysis with Open Source Tools
  • Hadoop: The Definitive Guide
  • Visualizing Data: Exploring and Explaining Data with the Processing Environment
  • Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
  • Beautiful Code: Leading Programmers Explain How They Think
  • Natural Language Processing with Python
  • Now You See It: Simple Visualization Techniques for Quantitative Analysis
  • Data Points: Visualization That Means Something
  • Seven Languages in Seven Weeks
  • Understanding the Linux Kernel, Third Edition
  • Machine Learning for Hackers
  • 97 Things Every Software Architect Should Know: Collective Wisdom from the Experts
  • The Art of Readable Code
  • Apprenticeship Patterns: Guidance for the Aspiring Software Craftsman
  • Software Estimation: Demystifying the Black Art
  • Building Scalable Web Sites
  • The Art of Agile Development

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »
Programming Collective Intelligence: Building Smart Web 2.0 Applications Programming the Semantic Web

Share This Book