Name: Building Scalable & Reliable Real-Time Streaming Apps with Kafka and KSQL
Start: 2018-11-07T18:00:00-08:00
End: 2018-11-07T20:00:00-08:00
Location: BootUp Ventures

Join us for an Apache Kafka meetup on November 7th from 6pm, hosted by GridGain Systems at Menlo Park. The address, agenda and speaker information can be found below. You even have the chance to win a HUGE Xbox bundle if you attend and enter the host's raffle below! See you there!

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Agenda:
6:00pm - 6:15pm: Networking, Mexican Food and Drinks
6:15pm - 7:00pm: Kafka, KSQL and YugaByte DB: Building Scalable & Reliable Real-Time Streaming Apps The Easy Way, Bogdan Matican and Bharat Baddepudi, Yugabyte
7:00pm - 7.45pm: Best Practices for Stream Processing with Kafka and Apache Ignite, Denis Magda, Apache Ignite PMC and GridGain
7:45pm - 8:00pm: Additional Q&A, Networking and Raffle drawing for an Xbox One S and more! Enter here to join the raffle: http://bit.ly/Nov7Kafka! *

*full information on prizes below!

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Speakers:
Bogdan Matican and Bharat Baddepudi

Bios:
Bogdan Matican is a Founding Engineer at YugaByte, working across all aspects of the product, from core database features to the enterprise administration console. He has been working in or around distributed systems for over 5 years, across Facebook (HBase, blobstore, stream processing), UCar (monitoring, data analytics) and research (security, cluster management).

Bharat Baddepudi is a Founding Engineer at YugaByte, working on aspects of the core backend database as well as the enterprise management layer. He was part of the Oracle Database kernel team early on. Prior to YugaByte, he was at MapR where he was instrumental in building a document database from ground up for Hadoop scale.

Title:
Kafka, KSQL and YugaByte DB: Building Scalable & Reliable Real-Time Streaming Apps The Easy Way

Abstract:
Real-time streaming apps are increasingly driving business growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. Ensuring the scalability and reliability of the data pipelines powering such apps in the face of ever-growing data volumes has traditionally required significant development and operations expertise. The combination of Kafka as the streaming platform, KSOL as the stream processing layer and YugaByte DB as the ultra-resilient, Cassandra-compatible database make these tasks easier than ever before. In this talk, we will review the key architectural patterns involved in the context of a sample IoT Fleet Management application built on Kafka, KSQL, YugaByte DB and Spring Boot.

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Speaker:
Denis Magda

Bio:
Denis Magda is the Vice President of the Apache Ignite PMC and GridGain's director of product management. Before joining GridGain, Denis worked for Oracle Inc. where he led the Java ME Embedded Porting Team -- helping bring Java to IoT.

Title:
Best Practices for Stream Processing with Kafka and Apache Ignite

Abstract:
Learn some of the best practices companies have used for making Apache Kafka and Apache Ignite scale.
Making stream processing scale requires making all the components --including messaging, processing, storage -- scale together. During this talk, Denis will explain:
• The integration between Apache Ignite and Kafka and the commercially supported versions, GridGain and Confluent
• Examples of how Ignite and Kafka are used together
• Recommended approaches for deployment, monitoring and management
• Tips and tricks for performance and scalability tuning
• Answers to your questions

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The Raffle Prize includes: Xbox One S 1TB Console, full game download of Rocket League, and a 3 month Xbox Live Gold Card.

Play over 100 console exclusives and a growing library of Xbox 360 games on Xbox One

ENTER HERE: http://bit.ly/Nov7Kafka

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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're unable to cater for attendees under the age of 18. Please do not sign up for this event if you're under 18.

Alice Richardson

Joe Shore

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Building Scalable & Reliable Real-Time Streaming Apps with Kafka and KSQL

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Building Scalable & Reliable Real-Time Streaming Apps with Kafka and KSQL

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