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Valley View: Cisco, Oracle And Drama

The sparks fly in October's episode of Valley View, our monthly live Web TV program. Watch the full show here.

Cisco CEO John Chambers was his usual, cautiously confident self, and Oracle president Mark Hurd exuded confidence that Oracle's new strategy has finally come together, and CRN's news editor Steve Burke was exasperated by the waste behind the American Recovery and Re-investment Act money that went to technology companies (some of whom will thoroughly surprise you).

And that was just for starters on October's Valley View, our monthly live Web TV program, which aired October 24. We also heard three compelling, rapid-fire elevator pitches from some up-and-coming companies in the smoking hot markets of mobile (Taptera), big data (Alteryx) and the social enterprise (Hearsay Social).

In other words, we had quite a show. Lots of emotion and controversy. But if you missed it, fear not. You can watch the entire episode in the video embedded below.

Informationweek.com run-of-site player, used to publish article embedded videos via DCT. The same ads will be served on this player regardless of embed location.

Over the next several days we'll be publishing the individual segments from the show. And, if you want to watch live next time, you can tune into our November 28 show. That starts at 11 a.m. Pacific Time on our Valley View page. You can also register for Valley View and you'll be entered into a drawing for some nice prizes. On the October show, we gave away an Apple TV and an Amazon Kindle Fire HD.



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By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
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Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



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