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:20141102T020000 RDATE:20141102T020000 RDATE:20151101T020000 RDATE:20161106T020000 RDATE:20171105T020000 RDATE:20181104T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD BEGIN:DAYLIGHT DTSTART:20150308T020000 RDATE:20150308T020000 RDATE:20160313T020000 RDATE:20170312T020000 RDATE:20180311T020000 RDATE:20190310T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20141023T171348Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20141119T213000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20141119T190000 DTSTAMP;VALUE=DATE-TIME:20141023T171348Z LAST-MODIFIED;VALUE=DATE-TIME:20141023T171348Z UID:http://calagator.org/events/1250467216 DESCRIPTION:This workshop will be taught by [SnapFlow](http://www.snapflo w.com/)'s Chief Architect Nathan Aschbacher. He will cover the setup an d overview of [Spark](https://spark.apache.org/) as well as discuss wher e it sits in the solution space and how it differs from other tools that are out there. \;\n \;\nBring your laptop. \;\n \;\nDoors o pen at 6:50p. We officially start at 7. Workshop starts at 7:15. We'l l linger\, socialize\, network\, and otherwise keep beeing geeks until a round 9:30. \;\n \;\nPlease RSVP [here](http://www.meetup.com/Por tland-Data-Science-Workshops/events/215207692/).\n\nTags: data science w orkshop\, spark\, big data\, distributed computing\n\nImported from: htt p://calagator.org/events/1250467216 URL:http://www.PortlandDataScience.com SUMMARY:Apache's Spark: Setup\, Overview\, and Comparison LOCATION:New Relic: 111 SW 5th Avenue\, Suite 2700\, Portland Oregon 9720 4 United States SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20160112T005529Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160222T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160222T180000 DTSTAMP;VALUE=DATE-TIME:20160112T005529Z LAST-MODIFIED;VALUE=DATE-TIME:20160112T005529Z UID:http://calagator.org/events/1250469606 DESCRIPTION:Come and talk to other Cassandra users about Cassandra and us es and abuses of the technology. It will be hosted at New Relic with fre e pizza and beer. \;\n \;\nDoors open at 6 and talks begin at 6:30 . \;\n \;\nTopic: Using Cassandra with Apache Spark \;\n\n\nTag s: cassandra\, java\, spark\n\nImported from: http://calagator.org/event s/1250469606 URL:http://www.meetup.com/DataStax-Cassandra-Portland-Users/ SUMMARY:Portland Cassandra User Group Meetup LOCATION:New Relic: 111 SW 5th Avenue\, Suite 2700\, Portland Oregon 9720 4 United States SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20161010T065914Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161018T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161018T180000 DTSTAMP;VALUE=DATE-TIME:20161010T065914Z LAST-MODIFIED;VALUE=DATE-TIME:20161010T065914Z UID:http://calagator.org/events/1250470945 DESCRIPTION:##Design Patterns for working with Fast Data in Kafka \;\n \;\nApache Kafka is an open-source message broker project that provi des a platform for storing and processing real-time data feeds. In this presentation Ian Downard will describe the concepts that are important t o understand in order to effectively use the Kafka API. You will see how to prepare a development environment from scratch\, how to write a basi c publish/subscribe application\, and how to run it on a variety of clus ter types\, including simple single-node clusters\, multi-node clusters using Heroku’s “Kafka as a Service”\, and enterprise-grade multi-node cl usters using MapR’s Converged Data Platform. \;\n \;\nIan will a lso discuss strategies for working with "\;fast data"\; and how to maximize the throughput of your Kafka pipeline. He'll describe which Kafka configurations and data types have the largest impact on performa nce and provide some useful JUnit tests\, combined with statistical anal ysis in R\, that can help quantify how various configurations effect thr oughput. \;\n \;\nThe code and presentation for this talk will be available at https://github.com/iandow/design-patterns-for-fast-data. 3\;\n \;\n##Speaker: \;\n \;\nIan Downard is a technical evange list for MapR where he is focused on creating developer-friendly ways to use the MapR Converged Data Platform. \;\n \;\n* Personal Blog: h ttp://www.bigendiandata.com \;\n* Twitter: https://twitter.com/iandow nard\n\nTags: kafka\, real time\, streaming analytics\, spark\, r\n\nImp orted from: http://calagator.org/events/1250470945 URL:http://pjug.org SUMMARY:Portland Java User Group (PJUG) LOCATION:Oracle (Downtown Campus): 1211 SW 5th Avenue\, Suite 800\, Room 8005\, Portland Oregon 97204 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20161201T233936Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161208T183000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20161208T163000 DTSTAMP;VALUE=DATE-TIME:20161201T233936Z LAST-MODIFIED;VALUE=DATE-TIME:20161201T233936Z UID:http://calagator.org/events/1250471152 DESCRIPTION:This event has been canceled due to high possibility of incle ment weather conditions. We're looking to reschedule James Ward's talk i n early 2017. \;\n \;\n=============== \;\n \;\n \;\nJoin Nike Digital for the next event in our Nike Tech Talks series on Thursd ay\, December 8th from 4:30-6:30pm! \;\n \;\nBuilding Modern Data Pipelines \;\nJames Ward | Principal Platform Evangelist | Salesforce .com \;\n \;\nOur modern systems are no longer just simple CRUD ap ps. We now need to deal with massive\, distributed\, real-time data syst ems that ingest potentially terabytes of data\, support real-time and ba tch analytics\, do machine learning\, and support a host of web and mobi le app interfaces. This session will walk through architectural patterns and technologies for building these modern data pipelines. You will lea rn about Apache Kafka\, a variety of databases\, and data processing fra meworks like Spark. \;\n \;\nRSVP at: https://niketechtalksdec2016 .splashthat.com. \;\n \;\nWe hope to see you at the event and enc ourage you to invite your colleagues. If you have any questions\, please contact michelle.cassinelli@nike.com\n\nTags: talk\, data\, platform\, apache\, kafka\, spark\n\nImported from: http://calagator.org/events/125 0471152 URL:https://niketechtalksdec2016.splashthat.com SUMMARY:CANCELED: Nike Tech Talks LOCATION:Nike Decathlon Club Cafe: 15350 SW Koll Parkway\, Beaverton Or 9 7006 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20170318T181912Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170321T200000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170321T183000 DTSTAMP;VALUE=DATE-TIME:20170318T181912Z LAST-MODIFIED;VALUE=DATE-TIME:20170318T181912Z UID:http://calagator.org/events/1250471627 DESCRIPTION:Businesses are discovering the untapped potential of large da tasets and data streams through the use of technologies for big data pro cessing and storage. By leveraging these assets they’re creating a new g eneration of applications that derive value from data they used to throw away. In this presentation Ian Downard will discuss how to build operat ional environments for these types of applications with the MapR Converg ed Data Platform and he’ll walk through an example of a next-generation application that uses Java APIs for MapR Streams\, Apache Spark\, Apache Hive\, and MapR-DB. We’ll see how these technologies can be used to joi n and transform unbounded datasets to find signals and derive new data s treams for a financial scenario involving real-time algorithmic trading and historical analysis using SQL. We’ll also discuss how MapR enables y ou to run real-time data applications with the speed\, reliability\, and security you need for a production environment. \;\n \;\nIan Down ard is a technical evangelist for MapR where he is focused on creating d eveloper-friendly ways to use the MapR Converged Data Platform. \;\n& #13\;\nPersonal Blog: http://www.bigendiandata.com \;\n \;\nTwitte r: https://twitter.com/iandownard \;\n \;\nGitHub: https://github. com/iandow \;\n \n\nTags: MapR\, spark\, kafka\, nosql\, json\, Zeppe lin\, Hive\, streaming\n\nImported from: http://calagator.org/events/125 0471627 URL:https://www.meetup.com/PDXJUG/events/238323828/ SUMMARY:Java User Group - "Spark and MapR Streams: A Motivating Example" LOCATION:Jama Software\, 135 SW Taylor\, Suite 200\, Portland\, OR: false SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20190317T010305Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20190330T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20190330T130000 DTSTAMP;VALUE=DATE-TIME:20190317T010305Z LAST-MODIFIED;VALUE=DATE-TIME:20190330T155009Z UID:http://calagator.org/events/1250475261 DESCRIPTION:Sorry everyone\, our event host is unable to make it today.\n \nTags: weather\, data\, time series\, snotel\, scala\, spark\, pdxsw\, pdxstartupweek\, Portland Startup Week\n\nImported from: http://calagato r.org/events/1250475261 URL:http://KnowledgeMavens.org SUMMARY:CANCELLED - Time Series Prediction of SNOTEL LOCATION:Portland Community Church: 7100 Southwest Scholls Ferry Road\, B eaverton OR 97008 US SEQUENCE:3 END:VEVENT END:VCALENDAR