Implementing an Open Data Lakehouse with Apache Iceberg

This whitepaper discusses the implementation of an open data lakehouse architecture powered by Cloudera and Apache Iceberg. It outlines the challenges faced by data teams in managing diverse data types across various environments, emphasizing the need for a unified architecture that combines the flexibility of data lakes with the performance of data warehouses. The document details the components of an open data lakehouse, including the storage layer, table layer, engine layer, and optimization layer, which together facilitate high-performance analytics. Additionally, it presents the benefits of using open table formats like Apache Iceberg, which provide transactional consistency and ease of management. The paper also contrasts traditional data management approaches, such as Hive tables and Delta Lake, with the advantages offered by Apache Iceberg, particularly in terms of scalability and operational simplicity. Overall, it serves as a guide for organizations looking to enhance their data analytics capabilities through a modern data architecture.