Google Plus Hangouts gets Enterprise Level Upgrade

Check out the new Google Plus Hangout with Extras

http://www.google.com/support/plus/bin/answer.py?hl=en&answer=1289346&ctx=go&hl=en

About Hangouts with Extras

Hangouts with Extras is a simple and easy way to connect and collaborate with your colleagues in real time. With Hangouts with Extras you can:

Connect with multiple people simultaneously: With group video chat and web conferencing you can connect with multiple people around the world at the same time.

Share your screen: Ever look at something that you couldn’t quite put into words? Well, with screen sharing you give other people the ability to view what’s on your computer screen. You can choose an open window screen on your computer and give everyone in your meeting the ability to look at it. Learn More

Collaborate in real time: You can meet, share notes, and even work on documents at the same time.Learn More

For enterprises- you can throw out your video conferencing software and collaboration tools and get a new mobile app for free.

Small drawbacks in the Google Plus- lack of integration with Youtube (it is one way integration from youtube to hangouts but not the other way round fixed), lack of a whiteboard  for sketches- (like again a shortcut to a google doc 🙂 ) or even bundling the record from your web cam to record your desktop.

Ultimately enterprises want to know how they can use this stuff for e-learning modules or webcasts.

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Alternative uses-

Check out NY Met Museum with Friends (thanks to Google Art Project)

Play Linkin Park Playlist (100 videos) with Friends btw. great graphic redesign of Youtube icons!! Now if we could only convince the Google Docs to get more integrated with Open Office or LibreOffice templates

or even set up a DJ table session using Google Hangouts. with Extras of course.

But as it stands it may be good to go for webcasts !!

 

Where is Waldo? Webcast on Network Intelligence

From the good folks at AsterData, a webcast on a slightly interesting analytics topic

Enterprises and government agencies can become overwhelmed with information. The value of all that data lies in the insights it can reveal. To get the maximum value, you need an analytic platform that lets you analyze terabytes of information rapidly for immediate actionable insights.

Aster Data’s massively parallel database with an integrated analytics engine can quickly reveal hard-to-recognize trends on huge datasets which other systems miss. The secret? A patent-pending SQL-MapReduce framework that enables business analysts and business intelligence (BI) tools to iteratively analyze big data more quickly. This allows you to find anomalies more quickly and stop disasters before they happen.

Discover how you can improve:

  • Network intelligence via graph analysis to understand connectivity among suspects, information propagation, and the flow of goods
  • Security analysis to prevent fraud, bot attacks, and other breaches
  • Geospatial analytics to quickly uncover details about regions and subsets within those communities
  • Visual analytics to derive deeper insights more quickly

R Oracle Data Mining

Here is a new package called R ODM and it is an interface to do Data Mining via Oracle Tables through R. You can read more here http://www.oracle.com/technetwork/database/options/odm/odm-r-integration-089013.html and here http://cran.fhcrc.org/web/packages/RODM/RODM.pdf . Also there is a contest for creative use of R and ODM.

R Interface to Oracle Data Mining

The R Interface to Oracle Data Mining ( R-ODM) allows R users to access the power of Oracle Data Mining’s in-database functions using the familiar R syntax. R-ODM provides a powerful environment for prototyping data analysis and data mining methodologies.

R-ODM is especially useful for:

  • Quick prototyping of vertical or domain-based applications where the Oracle Database supports the application
  • Scripting of “production” data mining methodologies
  • Customizing graphics of ODM data mining results (examples: classificationregressionanomaly detection)

The R-ODM interface allows R users to mine data using Oracle Data Mining from the R programming environment. It consists of a set of function wrappers written in source R language that pass data and parameters from the R environment to the Oracle RDBMS enterprise edition as standard user PL/SQL queries via an ODBC interface. The R-ODM interface code is a thin layer of logic and SQL that calls through an ODBC interface. R-ODM does not use or expose any Oracle product code as it is completely an external interface and not part of any Oracle product. R-ODM is similar to the example scripts (e.g., the PL/SQL demo code) that illustrates the use of Oracle Data Mining, for example, how to create Data Mining models, pass arguments, retrieve results etc.

R-ODM is packaged as a standard R source package and is distributed freely as part of the R environment’s Comprehensive R Archive Network ( CRAN). For information about the R environment, R packages and CRAN, see www.r-project.org.

and

Present and win an Apple iPod Touch!
The BI, Warehousing and Analytics (BIWA) SIG is giving an Apple iPOD Touch to the best new presenter. Be part of the TechCast series and get a chance to win!

Consider highlighting a creative use of R and ODM.

BIWA invites all Oracle professionals (experts, end users, managers, DBAs, developers, data analysts, ISVs, partners, etc.) to submit abstracts for 45 minute technical webcasts to our Oracle BIWA (IOUG SIG) Community in our Wednesday TechCast series. Note that the contest is limited to new presenters to encourage fresh participation by the BIWA community.

Also an interview with Oracle Data Mining head, Charlie Berger https://decisionstats.wordpress.com/2009/09/02/oracle/

Webcasts: Oracle Data Mining

How to do Data Mining for free? See these webcasts- unless you are too busy writing cheques for other softwares.

Wednesday, November 4, 12 noon Eastern
BIWA SIG Wednesday TechCast Series – 11th Event!
Oracle Data Mining for Text, Clustering, and Classification: Case Study of the Oracle OpenWorld Recommendation Engine
Mark Hornick –  Oracle Data Mining Development – Oracle

Returning from Oracle OpenWorld 09, some of the hot topics for data mining include text mining, document clustering, and recommendation engines. Learn how Oracle Data Mining was used in the Schedule Builder application at Oracle OpenWorld 2008 and 2009 to generate session recommendations and find similar and related sessions. This session includes a demonstration using the advanced text mining features of the Oracle Data Miner user interface. We also characterize recommendation effectiveness using objective test metrics and summarize recommendation usage.

Presenter:
Mark Hornick is Senior Manager, Data Mining Development, in Oracle’s Server Technology organization.  He has many years experience in data mining and is a leader of the JSR-73 standards body for data mining.  Mark wrote the book  Java Data Mining:  Strategy, Standard and Practice.

Audio Dial-In: 866 682 4770  Audio Meeting ID:  1683901  Audio Meeting Passcode:  334451
Web Conference:
https://conference.oracle.com/imtapp/app/cmn_jm_hub.uix?mID=161895628
Compatibility Check:  If you have not used Oracle’s web conference system before, please ensure your system    compatibility by going to https://conference.oracle.com/imtapp/app/nuf_sys.uix.

Other Wednesday TechCasts Coming Soon (always at noon Eastern time)
– Mark Your Calendars!

  • November 18, 2009 – OBIEE Case Study:  A High Performance Reporting Platform at Gallup
    Swapan Golla and Tom Ruhlman – Analytics and Gallup Net Analytics, Gallup Inc.
  • December 9, 2009 – Best practices for deploying a Data Warehouse on Oracle Database 11g
    Maria Colgan – Oracle Data Warehousing Product Management, Oracle