BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:STANDARD DTSTART:20131103T020000 RDATE:20131103T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD BEGIN:DAYLIGHT DTSTART:20140309T020000 RDATE:20140309T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140206T020315Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140211T120000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140211T083000 DTSTAMP;VALUE=DATE-TIME:20140206T020315Z LAST-MODIFIED;VALUE=DATE-TIME:20140206T020315Z UID:http://calagator.org/events/1250465646 DESCRIPTION:The DAMA Portland Chapter is pleased to welcome Dan Murray\, an expert in Data Visualization and Tableau Software. Dan does not work for Tableau and is not selling Tableau. However\, Tableau is one of th e leading data visualization software applications and it is a fine vehi cle to demonstrate best of breed visualization techniques. Dan is an au thor with a book just recently published. \;\n \;\nEvery enterpris e has data scattered across many different systems\, spreadsheets\, and databases. Expert Daniel Murray explains how to create insight by buildi ng your knowledge of Tableau Desktop\, adding best practices learned fro m working with big data at the most demanding enterprise clients in the world. You will learn about proven methods for building dashboards that load quickly and clearly communicate the information you uncover. Case s tudies are referenced to demonstrate how other enterprises have leverage d Data Visualization to achieve excellent outcomes. \;\n \;\n \;\n• Reduce the backlog of information requests in your IT Group by ena bling information consumers to build their own reports without sacrifici ng good data governance \;\n• Keep pace with the accelerating volume\ , variety\, and velocity of data by leveraging Tableau's ability to conn ect to over 35 different enterprise data sources \;\n• Combine dispar ate data sets from proprietary and public data sources to build interact ive dashboards in a fraction of the time required by traditional BI tool s \;\n• Enhance information contained in your source data by leveragi ng Tableau's ad hoc sets\, groups\, calculation functions\, and table ca lculations to provide dynamic and insightful analysis \;\n• Leverage Tableau's unique ability to run in memory or via direct connections to d ata sources to effectively manage limited hardware resources and insure high availability and good performance \;\n• Support your managers' i ntuition with timely and insightful analysis that can adapt at the speed of their thought \;\n \;\nSchedule \;\n8:30 - 9:00 am - Sign In \;\n9:00 - 10:15 am - Presentation \;\n10:15 - 10:30 am - Bre ak\, Chapter Announcements \;\n10:30 - 11:30 am - Presentation contin ued \;\n \;\nLocation \;\nNike World Headquarters ***See Par king note below \;\nNolan Ryan Building (south side of campus - easi est access is from Jenkins Street) \;\nRoom: NRA2 Air Raid (this is l ocated on the second floor off the main lobby\, go up the stair that is located next to the statue of Nolan Ryan) \;\n \;\nCost \;\nF ree for members! \;\n$15 for guests \;\nSee the DAMAPDX site for l ist of corporate members \;\n \;\n****Parking Note (and tour opti on) \;\nParking at the Nike Campus is notoriously difficult after 8 :05am\, when the main parking lot is typically filled. For those that p refer an easy parking experience\, please join us at 8am in Nolan Ryan m eeting room. You then have the option of either doing a bit of work unt il 9am or you can take a tour of the Nike campus with Nike employee Tim Hallrud. Please park in either visitor parking or an unmarked parking s pace. Don’t park in spaces with an athlete name.\n\nImported from: http ://calagator.org/events/1250465646 URL:http://damapdx.org/ SUMMARY:Data Visualization - DAMAPDX LOCATION:Nike World Headquarters - Nolan Ryan: 1 Bowerman Dr\, Beaverton OR 97005 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140409T040236Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140415T110000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140415T083000 DTSTAMP;VALUE=DATE-TIME:20140409T040236Z LAST-MODIFIED;VALUE=DATE-TIME:20140409T040236Z UID:http://calagator.org/events/1250465984 DESCRIPTION:The DAMA Portland Chapter is dedicated to delivering thought provoking Data-centric presentations that will make you more successful in your job. We are pleased to welcome three thought leaders from Intel. Hear more about Intel's It strategy\, application and technology focus \, and the future of analytics. \;\n \;\nIntel IT has several init iatives underway that address the changing complexities of our data/tech nology environment: \;\n \;\nThe computing environment is expandin g across multiple form factors\, operating systems\, and devices with an ever increasing focus on improving the User Experience. Intel IT has ta ken on a bold objective to embrace new user experiences. Over the next y ear we will be focusing on Social media\, Multi-OS/Browser\, Mobile\, An alytics and Cloud capabilities\; all to increase user productivity and e nable Intel's business. \;\n \;\nHadoop and other "\;Big Data& quot\; tools are transforming businesses everywhere: suddenly Internet-s cale data can be stored and analyzed with relative ease. But the answers to many strategic\, high-value problems are complex and open-ended. Typ ically they are not found directly in any one data source (no matter how big) but are rather synthesized\, by learning from and building off of multiple sources (including what one already knows)\, and weaving these together with new ideas &\; insights into the context of the problem at hand. Graph databases and graph computation engines\, along with new "\;reactive"\; programming models and interactive visualization\ , are starting to address these problems of complexity at scale\, and ar e shaping up to be the next Big Thing in big data - and potentially even more disruptive than Hadoop. \;\n \;\nRegister at: http://www.dam apdx.org/ \;\n \;\n \;\nSpeaker Bios: \;\n \;\nJohn David Miller is Principal Engineer in Intel Information Technology Labs\, whe re he leads research in visual analytics and cognitive computing. \;\ n \;\nBill Giard is a Principal Engineer in the Product Development I T Organization and leads Intel IT’s Software and Application strategy to deliver Intel IT’s applications across multiple client computing platfo rms. As part of this effort Bill works closely with the product teams i n HTML5 and Software Development strategy as well as industry partners t o enable Intel computing across multiple devices\, operating systems\, a nd browsers. \;\n \;\nJulie Moore is the Senior Program Manager fo r Intel Information Technology’s Five Star Applications Program for mult i-platform application enablement. Five Star is chartered to advance In tel IT’s vision to become an industry role model for delivering our busi ness solutions to our users on their platforms of choice. \;\n\n\nImp orted from: http://calagator.org/events/1250465984 URL:http://www.damapdx.org/ SUMMARY:Intel IT's strategy\, application and technology focus and the fu ture of Analytics LOCATION:Nike World Headquarters - Nolan Ryan: 1 Bowerman Dr\, Beaverton OR 97005 US SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20140504T213809Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140520T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20140520T180000 DTSTAMP;VALUE=DATE-TIME:20140504T213809Z LAST-MODIFIED;VALUE=DATE-TIME:20140504T213809Z UID:http://calagator.org/events/1250466126 DESCRIPTION:### Applied Recommender Systems \;\n \;\nEver wonder ho w Amazon and Netflix seem to have an uncanny ability to anticipate what products you might be interested in based on your past selections? This presentation will focus on an actual Recommender System application and will focus on: \;\n \;\nRecommender Systems Overview - a quick rec ap of my January talk on [Intro to Recommenders](http://www.slideshare.n et/rpbrehm/recommendersystempresentationpjug01212014-32136430). \;\n& #13\;\n* Apache Mahout – A production-grade Machine Learning system. One of Mahout's strong use cases is building recommenders. \;\n* Hadoop - Map/Reduce and other tools such as Hive \;\n \;\n* Spring XD - A Spring.io project to simplify the development of big data applications. \;\n \;\n### Speaker \;\nBob Brehm is a Java software develope r in the Portland area. Most recently he has been contracting with Nike on their Go To Market team. Bob had dabbled with Java since the early da ys and got serious about it in 2002. Bob is keenly interested in and has decided to specialize in Enterprise Search\, Recommenders and Big Data. Bob is married and has lived in the Portland area since 2001 when he re located from Rochester\, NY. He believes strongly that rain is better th an shoveling snow any day! In his spare time Bob enjoys a diverse number of hobbies including electronics\, open-source projects\, reading\, exp loring Portland\, and sports.\n\nTags: java\, jvm\n\nImported from: http ://calagator.org/events/1250466126 URL:http://pjug.org SUMMARY:Portland Java User Group (PJUG) LOCATION:Nike World Headquarters - Nolan Ryan: 1 Bowerman Dr\, Beaverton OR 97005 US SEQUENCE:1 END:VEVENT END:VCALENDAR