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Online Talks with Confluent

Created by the original creators of Apache Kafka, Confluent brings a wide array of talks with leading technologists and industry experts.

Upcoming Online Talks

All topics
  • All topics
  • Apache Kafka
  • Fraud Detection
  • Financial Services
  • Data Streaming
  • Real-Time Data
  • Streaming Data Pipelines
  • Serverless
  • Event-Driven Architecture
  • Confluent vs. MSK
  • MSK
  • AWS
  • TCO
  • Storage
  • Infinite Storage
  • Confluent Cloud
  • Hybrid and Multicloud
English
  • All languages
  • English

Why Your Fraud Detection and Security Tools Need Data Streaming

In this webinar you will hear from industry experts on how real-time data streaming is advancing fraud detection and driving smarter decision-making across the Financial Services industry.

Simplifying Event-Driven Architectures with Confluent and AWS Lambda

During this webinar, learn how to simplify event-driven, serverless architectures with Confluent and AWS Lambda. You'll see how to scale seamlessly, integrate AWS Lambda with Confluent, and build apps faster with Confluent’s robust connector ecosystem.

Real-time Stock Trading, Reporting, and Machine Learning Using Confluent

In this webinar, hear directly from KOR's CTO to learn why they chose Confluent over MSK to serve as a single source of truth for four decades’ worth of trade reporting data to stay in compliance with financial regulations.

Data Streaming in Real Life: Digital Natives

This webinar explores the state of data streaming for the Digital Native Sector.

Show Me How: Multi-Cloud Architectures

Join us to learn how to set up Confluent Cloud to provide a singular and global data plane connecting all of your systems, applications, datastores, and environments – regardless of whether systems are running on-prem, in the cloud, or both.

Modern Practices for Agile Data Mesh Architectures

Learn the benefits of data mesh, how to best scale your data architecture, empower real-time data governance, and best practices from experts at Confluent and Microsoft.

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