Seattle Apache Kafka Meetup

Happy Holidays and Happy New Year!

It's time for another session of the Seattle Apache Kafka Meetup, we have a couple of awesome talks on the agenda: Jay Kreps, CEO of Confluent, Inc. and Mingmin Chen & George Teo from Uber, Inc.

Please RSVP, and also forward to anyone who may be interested.

Date: Jan 18, 2018
Location: Microsoft City Center Plaza, conference room 2110 "Spruce" (second floor).

Agenda
6:00 pm: Doors Open
6:00 to 6:30 pm: Check-in, Food+Drinks
6:30 to 8:00 pm: Talks

1. Speaker: Mingmin Chen, Senior Software Engineer & George Teo, Software Engineer, Uber
   Mingmin is a senior software engineer with streaming data team at Uber, primarily focusing on building Kafka pipeline and scaling Uber's real-time infrastructure. Prior to that he was a software engineer with Twitter and Oracle, working on big data infrastructure, storage server and database technologies. He got his PhD in computer science from UC Davis.

Title: "Real time data pipeline at Uber".
Abstract: Building data pipelines is pretty hard! Building a multi-datacenter active-active real time data pipeline for multiple classes of data with different durability, latency and availability guarantees is much harder. Real time infrastructure powers critical pieces of Uber (think Surge) and in this talk we will discuss our architecture, technical challenges, learnings and how a blend of open source infrastructure (Apache Kafka and Flink) and in-house technologies have helped Uber scale.

2. Speaker: Jay Kreps, Co-Founder and CEO, Confluent Inc.
   Jay Kreps is the co-founder and CEO of Confluent, the company behind the popular Apache Kafka streaming platform. Prior to founding Confluent, he was the lead architect for data infrastructure at LinkedIn. He is among the original authors of several open source projects including Project Voldemort (a key-value store), Apache Kafka (a distributed streaming platform) and Apache Samza (a stream processing system).

Title: "Exactly-once Semantics In Apache Kafka"
How can you build event-driven applications and stream processing apps that get the right answer? Kafka has a set of new features supporting idempotence and transactional writes that help support building real-time applications with exactly-once semantics. This talk will give an overview of using these features and how they work.