Flink integrado com o Kafka/Agregar dados em tempo real/Transformando dados

Hello Streamers!

Please find the details to join this fun and informative meetup below. Presentations for this meetup will be in Portuguese.

Find information about upcoming meetups and tons of content from past Kafka Meetups all over the world:
cnfl.io/meetup-hub

Agenda (time below is BRT):
7:30pm-7:35pm: Networking on-line e boas-vindas da Rom!
7:35pm-7:50pm: Apache Flink integrado com o mundo Kafka, Rom Cesar, Founder of Techrom
7:50pm-8:15 pm: Descubra como o iFood agrega dados em tempo real para melhorar a tomada de decisões, Willian Moreira, Machine Learning Engineer at iFood, Fabrício Lopes , CTO at Elven Works
8:15pm-8:35pm: Transformando Dados em Insight, Fabrício Lopes , CTO at Elven Works
8:35pm-8:50pm: Q&A/End of meetup
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Joining our slack space is not instant, so ensure that you are in, in time for the event, follow the steps within this link before the day of the event if you can! cnfl.io/slack
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Title:
Apache Flink integrado com o mundo Kafka

Speaker One:
Rom Cesar, Founder of Techrom

Abstract: Apache Flink integrado com o mundo Kafka. Como funcionará e o que agregará de valor para o pipeline de dados
(in English): Apache Flink integrated with the Kafka World. How it will work and add value for data pipeline

Bio:
([https://www.linkedin.com/in/rômulo-barbosa/](https://www.linkedin.com/in/r%C3%B4mulo-barbosa/))
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Title:
Descubra como o iFood agrega dados em tempo real para melhorar a tomada de decisões

Speaker Two:
Willian Moreira, Machine Learning Engineer at iFood

Abstract:
Descubra como o iFood agrega dados em tempo real para melhorar a tomada de decisões. Ingerindo dezenas de milhões de eventos por dia, usamos Kafka para ingestão de dados em tempo real, Spark para processamento e Redis para acesso rápido do cliente. Esse pipeline integrado garante um tratamento de dados rápido, eficiente e confiável para nossas necessidades dinâmicas.
(in English): Discovering how iFood aggregates data in real time to improve decision making. Ingesting tens of millions of events per day, we use Kafka for real-time data ingestion, Spark for processing, and Redis for fast client access. This integrated pipeline ensures fast, efficient and reliable data processing for our dynamic needs

Bio:
(https://www.linkedin.com/in/willianmrs/)
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Title:
Transformando Dados em Insight

Speaker Three:
Fabrício Lopes , CTO at Elven Works

Abstract:
Transformando Dados em Insight: Como o Kafka Event Stream Potencializou nossa Plataforma de Observabilidade
(in English): Transforming data in insight: How Kafka Event Stream has potentialized the Elven Works' Observability Product

Bio:
(https://www.linkedin.com/in/fabricio-lopes-vital)
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If you would like to speak or host our next event please let us know! community@confluent.io

Online Meetup Etiquette:

• Please unmute yourself when you have a question
• Please hold your questions until the end of the presentation or use the Zoom chat
• 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 might have to wait a little while for it!)

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