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Build a Modern Database Architecture with Confluent and Amazon Web Services (AWS)

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Are you looking for a way to overcome the limitations of slow and rigid on-prem databases? Do you want to improve your ability to scale, experiment, and innovate while reducing upfront and ongoing maintenance costs? If so, Confluent and Amazon Aurora can help.

Join us for a demo and discover how Confluent can help you create a persistent bridge across your multi-cloud, on-prem, and hybrid environments to Amazon Aurora. With Confluent, you can quickly deploy an Apache Kafka® cluster, process, merge, and enrich your data using fully managed ksqlDB, and build complete data pipelines for your real-time apps using fully managed connectors.

In this demo, you'll learn how to:

  • Quickly deploy an Apache Kafka® cluster and load it with sample data
  • Efficiently process, merge, and enrich your data using fully managed ksqlDB
  • Leverage fully managed connectors to build complete data pipelines for your real-time apps quickly
  • Make data-driven decisions faster, improve customer experiences, and drive business growth

Don't miss this opportunity to discover how Confluent and Amazon Aurora can help you achieve your business goals. Check out the quick demo today!

Joseph Morais started early in his career as a network/solution engineer working for FMC Corporation and then Urban Outfitters (UO). At UO, Joseph joined the e-commerce operations team, focusing on agile methodology, CI/CD, containerization, public cloud architecture, and infrastructure as code. This led to a greenfield AWS opportunity working for a startup, Amino Payments, where he worked heavily with Kafka, Apache Hadoop, NGINX, and automation. Before joining Confluent, Joseph helped AWS enterprise customers scale through their cloud journey as a senior technical account manager. At Confluent, Joseph serves as cloud partner solutions architect and Confluent Cloud evangelist.

Aditya Samant is a relational database industry veteran with over 2 decades of experience working with commercial and open-source databases. Over the years, he has held many roles, including database consultant, professional support, DBA and database architect. He currently works at Amazon Web Services as a Sr. Database Specialist Solutions Architect. In his current role, he spends his time working with customer designing scalable, secure and robust cloud native architectures. Aditya also helps service teams with design and delivery of the groundbreaking features for Amazon’s flagship relational database, Amazon Aurora.

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