![]() Iceberg is also an improvement over Hive, which is used to track records at the folder level. Iceberg supports SQL-like commands to carry out operations like merging new data, updating rows, and performing delete operations. One of the many features it has is the support for expressive SQL. It introduced a lot of interesting features that help users more effectively manage data. Iceberg is creating metadata around your files allowing tools to see them as tables use the functionalities and the potentiality of an SQL table in traditional databases (ACID transactions, time travel and more).Īpache Iceberg was developed because of the need to address some of the limitations that come with traditional catalogs and table formats like Apache Hive, such as query performance, high cost of storage, and so on. What Is Apache Iceberg?Īpache Iceberg is an open-source table format that enables big data analysts to efficiently manage and query data in a data lake. In this post, we’ll discuss Apache Iceberg, its features, and how it can help in big data analysis. Now it comes down to how you’ll manage the data in your data lake. As of 2022, WhatsApp alone recorded over 2.44 billion active users who exchanged over 100 billion messages daily.ĭatabases and data warehouses have become less efficient for analyzing, storing, and manipulating large datasets like this, so the need to adopt data lakes has become obligatory. This has resulted in the generation of an unthinkable amount of data daily. We’ve seen the rise of social media applications like WhatsApp, Instagram, and TikTok over the last two decades.
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