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Speaker Slides & Videos
Strata Attendee DirectoryStrata 2011 Tutorials
Location: Mission City B4
Ken Hilburn (Juice Analytics),
Zach Gemignani (Juice Analytics)
Average rating:
(3.67, 9 ratings)
"Water, water everywhere, nor any drop to drink." - Rime of the Ancient Mariner. People feel overwhelmed with data. But the problem is not with the amount of data. The problem is that data is not presented in a form that people can understand and use. Juice Analytics will present and demonstrate proven techniques to design information applications to present data in enjoyable and rewarding ways.
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Location: Mission City B5
Abe Taha (Karmasphere),
Shevek - (Karmasphere),
Ken Krugler (Bixo Labs),
Chris Wensel (Concurrent, Inc)
Average rating:
(1.57, 23 ratings)
This tutorial will explain MapReduce and how to develop big data applications in Java and high level languages such as Pig and Hive SQL. Using examples it will cover how to prototype, debug, monitor, test and optimize big data applications for Hadoop. Attendees will get hands-on instruction and will leave with a solid understanding of how to analyze data on Hadoop clusters and practical examples.
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Location: Mission City M
Joseph Adler (LinkedIn),
Hilary Mason (bitly),
Drew Conway (New York University),
Jake Hofman (Yahoo!)
Average rating:
(3.17, 29 ratings)
This tutorial offers a basic introduction to practicing data science.
We'll walk through several typical projects that range from
conceptualization to acquiring data, to analyzing and visualizing it,
to drawing conclusions.
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Location: Mission City B5
Jonathan Ellis (DataStax)
Average rating:
(3.53, 19 ratings)
Apache Cassandra is a second-generation distributed database originally open-sourced by Facebook. Its write-optimized shared-nothing architecture results in excellent performance and scalability.
This tutorial will cover application design with Cassandra through a series of exercises with Twissandra, a simple Twitter clone written in Python and Django.
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Location: Mission City B4
Naomi Robbins (NBR)
Average rating:
(3.58, 12 ratings)
This tutorial describes how to draw clear, concise, accurate graphs that are easier to understand than many of the graphs one sees today. The tutorial emphasizes how to avoid common mistakes that produce confusing or even misleading graphs. Graphs for one, two, three, and many variables are covered as well as general principles for creating effective graphs.
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Location: Mission City M
Average rating:
(3.80, 5 ratings)
This tutorial offers a basic introduction to practicing data science. We'll walk through several typical projects that range from conceptualization to acquiring data, to analyzing and visualizing it, to drawing conclusions.
Read more.
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