OLAP Mastery
Building High-Performance Analytical Database Systems from the Ground Up
Complex analytical queries that take minutes or hours to execute are killing your data-driven initiatives. While traditional databases excel at handling transactions, they crumble under the weight of analytical workloads that require scanning millions of rows and performing complex aggregations across multiple dimensions. This comprehensive guide takes you deep into the world of Online Analytical Processing (OLAP), revealing the architectural principles and implementation strategies that separate high-performing analytical systems from sluggish data warehouses. You'll discover how dimensional modeling, columnar storage, and specialized indexing techniques work together to deliver sub-second response times for even the most complex analytical queries. From understanding the fundamental differences between OLTP and OLAP systems to implementing advanced optimization techniques like pre-aggregation and intelligent caching, you'll gain the knowledge needed to architect and build analytical database systems that scale. You'll explore modern distributed OLAP architectures, learn how to leverage cloud-native technologies, and master the art of query optimization for analytical workloads. Whether you're designing a new data warehouse, optimizing existing analytical systems, or transitioning to modern cloud-based OLAP solutions, this book provides the deep technical knowledge and practical insights you need to build systems that deliver lightning-fast analytical performance at any scale.
Est. Length
269 pages (13 chapters)
Language
English
Publication date
Oct 2, 2025
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