Merced A. Apache Polaris. The Definitive Guide. Enriching Apache...2025

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Merced A. Apache Polaris. The Definitive Guide. Enriching Apache...2025

Textbook in PDF format Revolutionize your understanding of modern data management with Apache Polaris (incubating), the open source catalog designed for data lakehouse industry standard Apache Iceberg. This comprehensive guide takes you on a journey through the intricacies of Apache Iceberg data lakehouses, highlighting the pivotal role of Iceberg catalogs. Authors Alex Merced, Andrew Madson, and Tomer Shiran explore Apache Polaris's architecture and features in detail, equipping you with the knowledge needed to leverage its full potential. Data engineers, data architects, data scientists, and data analysts will learn how to seamlessly integrate Apache Polaris with popular data tools like Apache Spark, Snowflake, and Dremio to enhance data management capabilities, optimize workflows, and secure datasets. Get a comprehensive introduction to Iceberg data lakehouses Understand how catalogs facilitate efficient data management and querying in Iceberg Explore Apache Polaris's unique architecture and its powerful features Deploy Apache Polaris locally, and deploy managed Apache Polaris from Snowflake and Dremio Perform basic table operations on Apache Spark, Snowflake, and Dremio The lakehouse ecosystem has matured significantly over the last few years. Apache Iceberg emerged as the main table format, especially for analytics. Apache Iceberg brings the reliability and simplicity of SQL queries on top of data files. To achieve this, Apache Iceberg materialized the data files as tables. This opens many new possibilities: ACID transaction, schema evolution, partitioning, and time travel. A table is essentially a set of data files and metadata. This means that we need a way to access the metadata describing a table. That’s the primary role of a catalog: to act as a reference and to provide a pointer to the metadata for a table, thus providing atomicity. The Iceberg Catalog is now a key component, telling where the tables are located and how to access them safely. The catalog is the keystone of data governance, managing table accesses, auditing and tracking, and atomic operations on metadata. The Apache Iceberg REST Catalog specification has dramatically changed the catalog ecosystem by providing an interoperable approach for Iceberg, where any language or tool can use the same API. But Iceberg doesn’t provide an implementation of this specification. That’s the purpose of Apache Polaris (incubating): an Iceberg Catalog REST implementation first but with additional features like multi-catalog support and fine-grained access control at the catalog level. Apache Polaris: The Definitive Guide is a timely, well-written book that perfectly presents Iceberg REST Catalog concepts and the Apache Polaris (incubating) catalog. The book provides everything you need to know to master Apache Polaris, from its core values (interoperability, run anywhere, and security) to specific features in detail (generic tables, federated catalogs, and more). It covers every aspect of Polaris, from how to run Polaris in a minute through advanced security and access configuration. The lakehouse architecture that turns data lakes into flexible data warehouses combines the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses. Apache Iceberg is at the core of this architecture, a table format designed to bring structure, consistency, and efficiency to massive datasets stored in data lakes. This section lays the foundation for understanding how Polaris fits into this ecosystem by exploring the challenges that led to the rise of lakehouses, the pivotal role of Iceberg in enabling them, and the critical need for robust cataloging solutions to manage and govern data effectively. Part I. Data Lakehouses and Apache Iceberg Fundamentals Chapter 1. Data Lakehouse and Apache Iceberg Chapter 2. The Role of Apache Iceberg Catalogs Part II. Apache Polaris Chapter 3. The Apache Polaris Security Model Chapter 4. External Catalogs Chapter 5. Polaris REST API Part III. Hands-on with Apache Polaris Chapter 6. Working with Apache Polaris OSS Chapter 7. Using Apache Polaris with Apache Spark Chapter 8. Using Apache Polaris with Snowflake Chapter 9. Using Apache Polaris with Dremio Chapter 10. Advanced Polaris Configuration and CLI Management Chapter 11. Looking to the Future of Apache Polaris Index