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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 the Vice President of Products and Chief Scientist at Cloudera. Jeff was an Entrepreneur in Residence at Accel Partners immediately prior to joining Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. The Data team was responsible for driving many of the statistics and machine learning applications at Facebook, as well as building out the infrastructure to support these tasks for massive data sets. The team produced several academic papers and 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.
He was more than pleased to receive this!!
I like that I was able to skip around and not have to read the book cover to cover, which I do not have the patience to do with any tech book.
Great read and a good overview of the importance of data and what it's worth, book has a zen quality that i appreciated.
A couple amazing chapters that make the book worth it, but the rest is quite bland.Published 2 months ago by Ben Rollert
insightful, case-study descriptions from leading voices in area. gives real sense of how and what data science is about. foundation book. incredible used book price - even sweeter.Published 19 months ago by dchow
This book was purchased as a Christmas gift for my son, who studies these things. He was more than pleased to receive this!!Published 22 months ago by Kathy Natoli
This book is not your typical teach you how to do something book. Instead it is a collection of essays by various people who study data and who have used data to solve... Read morePublished on June 12, 2012 by David Chin
This book is very entertaining if you are interested in data analysis, mining and visualization. It is not too technical. Read morePublished on December 17, 2011 by Oscar Cassetti
Like with Beautiful Code, some of the chapters in Beautiful Data left me wondering if the definition of "beautiful" here boils down to nothing more than "my pet project". Read morePublished on May 4, 2011 by Eric Jain
I'm glad I picked it up for the essays that I found interesting. However, it wasn't exactly what I was expecting, which was more examples of data storage solutions. Read morePublished on February 7, 2011 by J. Clouse
So, in full disclosure I have only read one chapter thus far (the book arrived this afternoon). This review is primarily about the binding and production quality and not the... Read morePublished on February 1, 2011 by L. W. Peterson
Review of Beautiful Data by Toby Segaran and Jeff Hammerbacher
We live in a world of data. Read more