Data teams across industries face the challenge of delivering a wide range of analytics use cases while managing rapidly expanding volumes of structured, semistructured, and unstructured data distributed across multiple clouds and on-premises.
An open data lakehouse, featuring an open table format, offers a solution that solves many of these challenges.
This paper examines Cloudera’s implementation of Apache Iceberg which is known for its ability to deliver high-performance analytics at petabyte scale while dramatically simplifying data operations. Learn how you too can build and implement an open data lakehouse architecture across cloud and on-premises environments to satisfy virtually any analytic workload.
