12/6/2023 0 Comments Apache iceberg architecture![]() While Apache Iceberg delivers ACID guarantees with updates/deletes to the data lakehouse, version 2 (v2) of the Apache Iceberg table format offers the ability to update. The silver data stage stores cleaned and transformed data that blend the original data from the bronze stage. Apache Iceberg is a table format that serves as the layer between storage and compute to provide analytics at scale on the lake, manifesting the promise of the data lakehouse. This stage uses Apache Iceberg for data storage. Watch Alex Merced, Developer Advocate at Dremio, for this webinar to learn the architectural details of why the Hive table format falls short and why the Iceberg table format resolves them, as well as the benefits that stem from Iceberg’s approach. The bronze data stage stores the data in the form of its original data source. So what is the answer? Apache Iceberg.Īpache Iceberg table format is now in use and contributed to by many leading tech companies like Netflix, Apple, Airbnb, LinkedIn, Dremio, Expedia, and AWS. Apache Iceberg is a table format specification created at Netflix to improve the performance of colossal Data Lake queries. The de-facto standard has been the Hive table format, released by Facebook in 2009 that addresses some of these problems, but falls short at data, user, and application scale. Iceberg is an open-source table format that was originally developed by Netflix to address various challenges encountered within Apaches Hive Hadoop project. The architecture of an Apache Iceberg table Now we’ll go through each of these components in detail. Figure 2-1 shows the different components that make up each layer of an Apache Iceberg table. A key capability needed to achieve it is hiding the complexity of underlying data structures and physical data storage from users. There are three different layers of an Apache Iceberg table: the catalog layer, the metadata layer, and the data layer. Data Lakes have been built with a desire to democratize data - to allow more and more people, tools, and applications to make use of data.
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