Streamline Your Data with Kafka & Druid: Achieve Real-Time Insights

Hello Data Enthusiasts!

We’re thrilled to invite you to our next meetup, co-hosted by Data Reply and Imply, in Munich on October 22nd, starting at 6:00 pm.

Join us for an insightful exploration into how Imply can unlock real-time insights from streaming data.

🗓 Agenda:
6:00pm - 6:20pm: Welcome
6:20pm - 6:50pm: Majid Azimi, Senior Data Engineer, Data Reply
7:00pm - 7:30pm: Hellmar Becker, Senior Sales Engineer, Imply
7:30pm Onwards: Meetup, Pizza 🍻🥤 & Network
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💡 Speaker 1:
Majid Azimi, Senior Data Engineer, Data Reply

Bio:
A dedicated data engineer, Majid balances a passion for biking, swimming, and video games with a commitment to crafting robust data solutions.

Talk:
Real-time Customer 360 Platform

Abstract:
In today’s digital landscape, delivering a personalized and engaging user experience is crucial for the success of video streaming platforms. To achieve this, it is essential to have a comprehensive and real-time understanding of customer interactions. In this talk, we explore the architecture and implementation of a Real-Time Customer 360 Platform designed to ingest, process, and analyze user activities from video streaming clients.

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💡 Speaker 2:
Hellmar Becker, Senior Sales Engineer, Imply

Bio:
Hellmar Becker is a Senior Sales Engineer at Imply. He has worked in data analytics for more than 20 years in various pre- and post-sales roles. Hellmar has worked with large customers in the finance, telco and retail industries, and spent several years at big data company, Hortonworks, and at Confluent.

Talk:
Fast aggregation & Insights on event data using Kafka and Druid

Abstract:
Have you ever wondered how a modern event analytics pipeline is different from a classical ETL setup? I am going to explain event analytics using Apache Druid, the real time OLAP engine. In a live demo, I show how to design and set up an analytics pipeline in just a few minutes, using Kafka for delivery, and Apache Druid for real time OLAP.

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