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:20171105T020000 RDATE:20171105T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20180207T032517Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20180214T210000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20180214T180000 DTSTAMP;VALUE=DATE-TIME:20180207T032517Z LAST-MODIFIED;VALUE=DATE-TIME:20180214T172031Z UID:http://calagator.org/events/1250473244 DESCRIPTION:Join us for our first Portland Apache Kafka meetup on Februar y 14th from 6:00pm. The agenda and speaker information can be found belo w. See you there! ----- Agenda:6:00pm: Doors open6:00pm - 6:15pm: Networ king\, Pizza and Drinks6:15pm - 7:15pm: Stream All Things - Patterns of Modern Data Integration\, Gwen Shapira\, Confluent7:00pm - 7:45pm: Addit ional Q&\;A and Networking ----- Speaker:Gwen Shapira Bio:Gwen Shapir a is a principal data architect at Confluent\, where she helps customers achieve success with their Apache Kafka implementation. She has 15 year s of experience working with code and customers to build scalable data a rchitectures\, integrating relational and big data technologies. Gwen cu rrently specializes in building real-time reliable data-processing pipel ines using Apache Kafka. Gwen is an Oracle Ace Director\, the coauthor o f Hadoop Application Architectures\, and a frequent presenter at industr y conferences. She is also a committer on Apache Kafka and Apache Sqoop. When Gwen isn’t coding or building data pipelines\, you can find her pe daling her bike\, exploring the roads and trails of California and beyon d. Title:Stream All Things - Patterns of Modern Data Integration Abstrac t:80% of the time in every project is spent on data integration: Getting the data you want the way you want it. This problem remains challenging despite 40 years of attempts to solve it. We want a reliable\, low late ncy system that can handle varied data from wide range of data managemen t systems. We want a solution that is easy to manage and easy to scale. Is it too much to ask? In this presentation\, we’ll discuss the basic ch allenges of data integration and introduce design and architecture patte rns that are used to tackle these challenges. We will explore how these patterns can be implemented using Apache Kafka and share pragmatic solut ions that many engineering organizations used to build fast\, scalable a nd manageable data pipelines. ----- Special thanks to WeWork Custom Hous e who are hosting us for this event. Don't forget to join our Community Slack Team (https://launchpass.com/confluentcommunity)! If you would lik e to speak or host our next event please let us know! [masked] NOTE: We are unable to cater for any attendees under the age of 18. Please do not sign up for this event if you are under 18.\n\nTags: meetup:event=24740 5635\, meetup:group=Portland-Apache-Kafka\, open source\, big data\, big data analytics\, stream processing\, apache kafka\, opensource\, cloud\ , cloudcomputing\, java\, scala\n\nImported from: http://calagator.org/e vents/1250473244 URL:https://www.meetup.com/Portland-Apache-Kafka/events/247405635/ SUMMARY:Portland Apache Kafka® Meetup by Confluent - Stream All Things wi th Gwen Shapira from Confluent LOCATION:WeWork - Custom House: 220 NW 8th Ave\, Portland\, OR 97209 OR 9 7209 us SEQUENCE:3 END:VEVENT END:VCALENDAR