Apache Iceberg 101 Course #3 | Data Lakehouse & Iceberg Explained

This course on the Apache Iceberg data lakehouse table format covers the essential topics of what Iceberg is and what it isn't. Iceberg is an open-source data lakehouse table format that provides a unified view of structured and unstructured data in a data lake, allowing for efficient querying and analysis of large-scale datasets. It enables organizations to store, query, and manage their data lakes in one unified platform.

Iceberg is not a data warehouse or a traditional database engine; it is instead focused on providing an open source platform for managing and analyzing large datasets. It provides powerful features such as partition pruning, columnar storage, and query optimization that enable efficient querying of large datasets. Additionally, Iceberg supports advanced analytics such as machine learning and predictive analytics.

The Apache Iceberg project has been developed to provide an open source platform to help organizations manage their data lakes more effectively. It provides an easy-to-use interface for creating tables, adding columns, defining partitions, and running queries on large datasets. Additionally, it allows users to create views for quickly exploring their data lakehouse tables and analyzing specific subsets of the dataset.

Iceberg also provides powerful features such as schema evolution, which allows organizations to easily add or remove columns from existing tables without having to rebuild the entire dataset from scratch. This feature makes it easier for organizations to keep their datasets up-to-date with changing business requirements without having to recreate the entire dataset every time there are changes in the underlying structure or content of their data lakehouse tables.

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[jplee]

Very nice. But the bottom 5% of your screen is a black bar running along the bottom. It appears to be blocking some parts of your slides including graphics and text. e.g. 6:38, 7:20