Apache Iceberg: Unlock Data Analytics with Open Lakehouse Architecture

If you’re looking to learn more about Apache Iceberg and how it enables an open lakehouse architecture for data analytics, this is the talk for you. Join Dipankar Mazumdar, a Developer Advocate at Dremio, as he delves into the architectural details of Apache Iceberg.

Apache Iceberg is a data lake engine that allows users to create tables using a format that is optimized for data lake architectures. It provides a powerful and robust way to store large amounts of data in an organized format that can be easily accessed by users.

Mazumdar will explain what a table format in data lakes is, what Hive table format does and why it’s necessary to have a new one. He will also discuss the architecture of an Iceberg table, what happens under the covers when we CRUD (create, read, update and delete) and the benefits of this architecture.

By attending this talk you will gain valuable insights into how Apache Iceberg works and how it helps build robust lakehouse architectures. You’ll also learn about the advantages of this open source technology including its ability to provide users with easy access to large amounts of data stored in an organized format.

Data lakes are becoming increasingly popular as they provide organizations with vast amounts of structured and unstructured data that can be used for analytics purposes. Apache Iceberg is an essential part of any modern data lake architecture as it enables users to access their data quickly and efficiently.

Don’t miss out on your chance to learn more about Apache Iceberg from Dipankar Mazumdar - join his talk today! You’ll find out all the details about this powerful Data Lake Engine, its architecture and how it can help enable an open lakehouse architecture for data analytics.

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[rajdeepsengupta]

good stuff, Thank you, do you have a comparision with snowflake which you can share