Seattle Apache Kafka Meetup

This is a past event

82 people went

Microsoft City Center Plaza

555 110th Ave NE · Bellevue, WA

How to find us

City Center Plaza, Bellevue, WA 98004

Location image of event venue


Greetings to all! We have another exciting meetup session coming up on April 15th Friday in Bellevue downtown. Please share the word to your friends, and RSVP!

Location: Microsoft City Center Plaza, conference room 2110 (second floor). The building is right next to Bellevue Transit Center, near the corner of 110th Ave NE and NE 6th Street.

Parking is available in the City Center garage. Enter the garage from 108th Ave NE (look for signs to El Gaucho and Microsoft) and park on level A. We will have free parking validations available on first come, first serve basis.

There are also parking lots nearby, access from 110th Ave NE between NE 6th and NE 8th street.


5:30 pm Doors Open

5:30 to 6:00 Check-in, Food+Drinks, Network

6:00 to 6:30 Authorization in Apache Kafka
Speaker: Ashish Singh@Cloudera

Reliable, high-rate ingestion of data from a large variety of sources is the first step toward answering big analytical questions, and Apache Kafka, a scalable publish-subscribe messaging system, is a popular choice for this goal. With the increasing adoption of Kafka, security has become more important than ever. In this talk, Ashish Singh will review recent advancements made in Kafka towards closing security gaps, and discuss how addition of pluggable authorization in Kafka has enabled Apache Sentry (incubating) to provide an enterprise-grade, fine-grained, role-based authorization in Kafka.

6:30 to 7:00 Near real time Bing search log processing with Kafka, Spark and SQL
Speakers: Wei Lu & Xavier Drudis Rius, Microsoft

Each day there are millions of users querying Bing search engine and generating hundreds of terabytes of search logs. The ability of analyzing very large and very fast search log streams in near-real-time manner is becoming the game changer for the search business. In this talk, we will brief how we integrate Kafka, SPARK and STRIPE SQL to enable the near-real-time search log analytics for various user scenarios.

Location, food and drinks sponsored by Microsoft.