Life-size visualizations, how Hadoop is used, SciDB has its first release
by Edd Dumbill
| @edd
| 30 September 2010
In this edition of Strata Week: the open source technology behind LinkedIn Signal; Julia Grace on visualization; Hadoop usage survey results, and the first release of the SciDB project.
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How a billion points of app data shape TripAdvisor's website.
by Mac Slocum
| @macslocum
| 27 September 2010
TripAdvisor is using data from its Facebook application to expand its website. In this Q&A;, Sanjay Vakil discusses the inner-workings of this app-website relationship and he passes on advice for companies pursuing their own data-driven products.
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Digits of pi, extruding images with iPads, and mapping the past on top of the present
by Julie Steele
| @jsteeleeditor
| 23 September 2010
In this edition of Strata Week: The 2,000,000,000,000,000th digit of pi is calculated with an assist from Hadoop and MapReduce; a new technique uses iPads to extrude light paintings across a long exposure shot; Historypin links historical photos to Google Street View shots; and this is the last week for Strata Conference proposal submissions.
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Social streams may eclipse RSS, but the blogosphere's roots run deeper.
by Jon Udell
| @judell
| 22 September 2010
Most people and organizations think of the calendar information they push as text for people to read. Few realize it's also data networks can syndicate. When that mindset changes, a river of data will be unleashed.
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Storage, MapReduce and Query are ushering in data-driven products and services.
by Edd Dumbill
| @edd
| 22 September 2010
We're at the beginning of a revolution in data-driven products and services, driven by a software stack that enables big data processing on commodity hardware. Learn about the SMAQ stack, and where today's big data tools fit in.
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What IBM's acquisition of Netezza means for enterprises.
by Alistair Croll
| @acroll
| 21 September 2010
Netezza sprinkled an appliance philosophy over a complex suite of technologies, making it easier for enterprises to get started. But the real reason for IBM's offer was that the company reset the price/performance equation for enterprise data analysis.
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