This ensures transparent, low-latency performance when working with large data lakes and helps make the entire process easier. Designed by Netflix in 2018, Apache Iceberg is a table snapshot format that works with huge analytic datasets to store collections of files in the same structure. However, they may not be enough to meet the demands of today’s data-driven world.Īpache Iceberg is an open table format designed to address the issues associated with using existing data lake formats such as Apache Hive. What Is Apache Iceberg?Ĭloud computing platforms, such as Google Cloud, Delta Lake, and Apache Hive, have become essential components of big data solutions. We’ll explain what Apache Iceberg is and the problems it solves. This article will provide an overview of Apache Iceberg and its benefits to data lakes. Apache Iceberg has emerged as an even more efficient solution for managing big data due to its ability to optimize data storage, simplify data management, and improve query performance.

While Apache Hive can solve some data processing issues encountered with data lakes, it falls short in other areas. Useful as data lakes are, managing such huge collections can be a challenge. Data lakes are repositories of massive datasets that store and analyze data from multiple sources. As such, data lakes have become increasingly popular. Companies are constantly seeking ways to use their data more effectively and base their decisions on accurate insights.

With the advent of big data, the reliance on data has become even more pronounced.

Apache iceberg snowflake