Name: Stream All Things with Gwen Shapira from Confluent
Start: 2018-02-14T18:00:00-08:00
End: 2018-02-14T21:00:00-08:00
Location: WeWork - Custom House

Join us for our first Portland Apache Kafka meetup on February 14th from 6:00pm. The agenda and speaker information can be found below. See you there!

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Agenda:
6:00pm: Doors open
6:00pm - 6:15pm: Networking, Pizza and Drinks
6:15pm - 7:15pm: Stream All Things - Patterns of Modern Data Integration, Gwen Shapira, Confluent
7:00pm - 7:45pm: Additional Q&A and Networking

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Speaker:
Gwen Shapira

Bio:
Gwen Shapira is a principal data architect at Confluent, where she helps customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen currently specializes in building real-time reliable data-processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, the coauthor of Hadoop Application Architectures, and a frequent presenter at industry 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 pedaling her bike, exploring the roads and trails of California and beyond.

Title:
Stream All Things - Patterns of Modern Data Integration

Abstract:
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 latency system that can handle varied data from wide range of data management 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 challenges of data integration and introduce design and architecture patterns that are used to tackle these challenges. We will explore how these patterns can be implemented using Apache Kafka and share pragmatic solutions that many engineering organizations used to build fast, scalable and manageable data pipelines.

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Special thanks to WeWork Custom House (https://www.wework.com/buildings/custom-house--portland--OR?utm_source=Google&utm_campaign=Organic&utm_medium=Listings) (https://www.wework.com/buildings/custom-house--portland--OR?utm_source=Google&utm_campaign=Organic&utm_medium=Listings)who are hosting us for this event.

Don't forget to join our Community Slack Team (https://launchpass.com/confluentcommunity)!

If you would like to speak or host our next event please let us know! community@confluent.io

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.

Ale Murray

Portland Apache Kafka® Meetup by Confluent

Confluent

Technology

Open Source

Big Data

Stream Processing

Apache Kafka