Data lakes are designed to store and seamlessly make available vast amounts of data to users across the organization. However, many organizations run into challenges like effective use of data and analytics directly on the lake.
Data lakes need to hide the complexity of underlying data structures and physical storage from end users in order to maximize value.
Apache Iceberg, an open table format, solves these challenges and is rapidly becoming an industry standard for managing data in data lakes. Iceberg introduces new capabilities that enable multiple applications to work together on the same data in a transactionally consistent manner and defines additional information on the state of datasets as they evolve and change over time.
Watch Dremio product expert, Brock Griffey to learn how you can use Apache Iceberg with Dremio to power your BI and analytics on ADLS.
Sr. Solution Architect
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In this webinar + demo, you will learn: