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