[tpm] Fwd: UG News: Happening this Week - David Pogue: Mac OS X Lion Expert, Troubleshooting Windows 7, HBase Coprocessors, and More

Mike Stok mike at stok.ca
Tue Nov 1 03:00:36 PDT 2011

Meet experts online. Join us for these free, live webcasts.

Attendance is limited, so register now. We'll send you a reminder before the webcast. And please feel free to forward this invitation to others.

	Mac OS X Lion: Pogue's Take 
Presented by David Pogue, author of Mac OS X Lion: The Missing Manual 
Wednesday, Nov 2, 2011 at 10:00 PT
Author David Pogue is deeply immersed in Apple's latest. He's ready to share the juiciest morsels of Lionized goodness that he discovered on his months-long journey through the new Mac OS X's innards.

	Troubleshooting Networking Issues in Windows 7 
Presented by Mike Halsey, author of Troubleshooting Windows® 7 Inside Out 
Thursday, Nov 3, 2011 at 10:00 PT
In this webcast Mike Halsey MVP, the author of Troubleshooting Windows 7 Inside Out, will discuss how you can diagnose and repair networking problems on your PC.

	HBase Coprocessors - Deploy Shared Functionality Directly on the Cluster 
Presented by Lars George, author of HBase: The Definitive Guide 
Friday, Nov 4, 2011 at 10:00 PT
This session explains the concepts behind coprocessors and uses examples to show how they can be used to implement data side extensions to the application code.

	Applying Patterns to Mobile Design 
Presented by Steven Hoober, author of Designing Mobile Interfaces 
Tuesday, Nov 8, 2011 at 10:00 PT
This webcast covers the intent of mobile patterns, and how to use them correctly in your design. Designed to be especially helpful for those migrating from other platforms, such as desktop web design.

	Analyzing Social Networks on Twitter 
Presented by Maksim Tsvetovat, author of Social Network Analysis for Startups 
Wednesday, Nov 9, 2011 at 10:00 PT
This course will cover: harvesting data from Twitter via search and streaming APIs, decomposing Tweets into constituent parts, fast-and-frugal content analysis of tweets, deriving and analyzing social network data found in tweets, and analyzing friends and followers.

To learn more about O'Reilly Webcasts, and watch on-demand videos of previous webcasts, visit: oreilly.com/webcasts 

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Mike Stok <mike at stok.ca>

The "`Stok' disclaimers" apply.

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