Why Apache Iceberg will rule data in the cloud

In recent years, the popularity of cloud-based data storage and processing has grown exponentially. Along with this growth has come a need for new and improved ways to manage data in the cloud. Apache Iceberg is a new open source project that is designed to address many of the challenges associated with cloud-based data management.

One of the key features of Apache Iceberg is its ability to handle very large data sets. Iceberg is built on top of the Hadoop Distributed File System (HDFS), which is designed to store and process large amounts of data. Iceberg takes advantage of HDFS’s scalability and reliability to provide a robust platform for storing and processing big data.

Another key feature of Apache Iceberg is its support for schema evolution. As data sets grow and change over time, it is often necessary to make changes to the schema that defines the data. With Iceberg, it is possible to make these changes without having to go through the process of completely rebuilding the data set. This makes it possible to keep data sets up-to-date without incurring the cost and complexity of full data migration.

Finally, Apache Iceberg provides strong support for data security. Iceberg uses encryption to protect data at rest and in transit. In addition, Iceberg supports the use of access control lists (ACLs) to restrict access to data sets. This makes it possible to control who has access to sensitive data, and to ensure that only authorized users are able to view or modify data.

Overall, Apache Iceberg is a promising new project that has the potential to revolutionize data management in the cloud. Iceberg’s combination of scalability, schema evolution, and data security makes it an ideal platform for storing and processing big data in the cloud.