It is specifically designed for large-scale data lakes with petabytes of data. This approach is becoming popular among data engineers let’s find out why.Īpache Iceberg is a high-performance open-source data table format. These table formats help in organizing both structured and unstructured data in a cloud data lake and help organizations meet the requirements and demands of modern applications. Table formats explicitly define a table, its metadata and the files composing the table.
This is where applying table formats to data becomes extremely useful. Schema management and evolution of dataĪlthough a metadata catalog (or meta store) on a data lake can help define schema, location and more, it has limitations to serve demands of modern applications.Transaction management (atomicity, consistency, isolation, and durability compliance).Simultaneous data access and changes by multiple applications written in different programming languages.Like books in a library, data in a data lake is organized and stored as datasets in files with directory structures to provide self-service access.Īlthough this traditional method has many benefits, needs have changed. That’s because cloud data lakes help provide organizations with additional flexibility and benefits by democratizing access to data for virtually all data consumers. Given the exponential increase of data-driven applications and benefits of the cloud, modern enterprises are increasingly using object storage systems or cloud data lakes for advanced analytics and AI applications.
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