Partitioning Strategies

Was this section helpful?

References

Apache Iceberg: An Open Table Format for Large-Scale Analytic Datasets, Ryan Blue, Daniel Weeks, Jeremy Klop, and Jason Zhang, 2018 Proceedings of the VLDB Endowment, Vol. 11 (VLDB Endowment Inc.) DOI: 10.14778/3275727.3275730 - Describes the design and benefits of Apache Iceberg, including its approach to hidden partitioning and schema evolution, which addresses limitations of traditional Hive-style partitioning.
Apache Hive Documentation - Partitioned Tables, The Apache Hive Community, 2023 (Apache Software Foundation) - Explains the mechanics and benefits of traditional Hive-style partitioning, which forms the basis of directory-based indexing in data lakes.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann, 2017 (O'Reilly Media) - A widely recognized book that covers fundamental concepts of data storage, indexing, and distributed systems, providing context for the design choices behind partitioning strategies in data lakes.
Optimizing Amazon S3 performance for data lakes, Amazon Web Services, 2019 (AWS) - Discusses practical strategies for optimizing data lake performance on Amazon S3, including the importance of partitioning, file sizing, and other architectural considerations.