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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
About the author
Alex Merced is a senior technical evangelist at Dremio with experience as a developer and instructor. His professional journey includes roles at GenEd Systems, Crossfield Digital, CampusGuard, and General Assembly. He co-authored "Apache Iceberg: The Definitive Guide" published by O'Reilly and has spoken at notable events such as Data Day Texas and Data Council. Alex is passionate about technology, sharing his expertise through blogs, videos, podcasts like Datanation and Web Dev 101, and contributions to the JavaScript and Python communities with libraries like SencilloDB and CoquitoJS.
