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High-performing organizations are able to successfully tap into their growing data to unleash valuable insights. But this requires complex integrations, time-consuming data transformations, and specialized skills to govern and secure all that data. What if you could run multi-function analytics on your data without any of these hassles? Decoupling analytic engines from underlying data management is important, and choosing a table format is a key decision.

We are announcing the integration of Apache Iceberg table format with Cloudera Data Platform, so you can go beyond lakehouses to run complex multi-function analytics at scale.

Join Ryan Blue, Apache Iceberg co-creator; Ram Venkatesh, Chief Technology Officer at Cloudera; and Anjali Norwood, Engineering Manager, Big Data Compute at Netflix, as they discuss the real-world motivations behind choosing Apache Iceberg to support emerging data architectures like lakehouse, data mesh and more.

You’ll learn about:
  • Benefits of the latest innovations in Iceberg and why it’s the best table format for emerging data architectures

  • Why real-world use cases require a multifunctional analytics platform

  • Best practices for deploying a multi-cloud, open lakehouse with Apache Iceberg

Speakers

Co-creator Apache Iceberg, Co-founder and CEO, Tabular

Ryan Blue

Chief Technology Officer, Cloudera

Ram Venkatesh

Engineering Manager, Big Data Compute, Netflix

Anjali Norwood

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