Description An exploration of the modern PostgreSQL ecosystem and its ability to handle specialized workloads typically reserved for specialty databases. It focuses on the extensions and features that allow Postgres to serve as a unified data platform. Key Topics: Generative AI embeddings (vector search), geospatial data (PostGIS), time-series applications, full-text search, and modern SQL features (window functions, CTEs). About the Technology: PostgreSQL is an open-source RDBMS that has evolved via a robust extension ecosystem to support non-relational data types, including JSON documents and high-dimensional vectors for AI. About the Book: Each chapter addresses a specific use case, such as eCommerce data management or music streaming services, demonstrating how to use indices (B-trees, GIN, HNSW) and extensions to optimize performance. About the Reader: For software engineers and database professionals with a basic understanding of SQL. About the Author: Denis Magda is a software engineer with a background in Java platform development at Sun Microsystems and Oracle.