This Meetup Group will focus on the Apache Kafka® technology and its ecosystem, also allowing its members to interact and share their use cases, dos and don’ts, how tos, etc.
We will also hear about the Confluent Platform, Confluent Cloud and topics like Kafka’s Connect API and streaming data pipelines, ksqlDB, Kafka’s Streams API and stream processing, Security, Microservices and anything else related to Apache Kafka®.
In order to do our part to help flatten the curve of the spread of COVID-19, we are moving all of our meetups online for the time being. Please find the details to join this meetup below.
Find information about upcoming meetups and tons of content from past Kafka Meetups all over the world: cnfl.io/meetup-hub
*Time below in Mexico City time - to find out when the event is in your timezone follow this link:
5:00pm-5:10pm: Online Networking
5:10pm-5:50pm: Tim Berglund, Confluent (Includes Q&A)
TALK WILL BE IN ENGLISH
5:50pm: Log in or Join our Slack Space* (https://launchpass.com/confluentcommunity) and go to #events to ask any follow up questions!
Joining our slack space is not instant, so ensure that you follow the steps within this link before the day of the event if you can! https://launchpass.com/confluentcommunity
Speaker: Tim Berglund
Bio: Tim is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com, is the co-host of the http://devrelrad.io podcast, and lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.
Talk: Introducing ksqlDB
Abstract: You’ve got streams of data that you want to process and store? You’ve got events from which you’d like to derive state or build aggregates? And you want to do all of this in a scalable and fault-tolerant manner? It’s just as well that Kafka and ksqlDB exist!
This talk will be built around a live demonstration of the concepts and capabilities of ksqlDB. We’ll see how you can apply transformations to a stream of events from one Kafka topic to another. We’ll use ksqlDB connectors to bring in data from other systems and use this to join and enrich streams—and we’ll serve the results up directly to an application, without even needing an external data store.
Online Meetup Etiquette:
•Please unmute yourself when you have a question.
•Please hold your questions until the end of the presentation or use the zoomchat!
•Please arrive on time as zoom meetings can become locked for many reasons (though if you get locked out a recording will be available, but you may have to wait a little while for it!
If you would like to speak or host our next event please let us know! [masked]