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Building an Open Data Lakehouse with Apache Iceberg
To effectively manage the explosion of data volumes and deliver high-performance analytics, many businesses are choosing to move to a data lakehouse, an architecture that combines the flexibility and scalability of data lake storage with the data management, governance, and analytics capabilities typically associated with a data warehouse.
Table formats are a key component of the data lakehouse architecture, as they deliver data warehouse functionality on the data lake.
Join us for some beers, light snacks, and a discussion with your local peers about Apache Iceberg! We'll cover:

  • The reasons behind Apache Iceberg's accelerated adoption, with committers from Netflix, Amazon Web Services, Google, Dremio, and more.
  • Why Iceberg is the ideal table format for large enterprise data lakes.
  • How Iceberg makes data management and governance easy while delivering high performance analytics on massive tables.

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