Szczegóły ebooka

Enterprise and cloud data warehouses alike are hitting their limits. Whatever the data warehouse solutions, rising costs, rigid and complex architectures, and the inability to support AI and real-time workloads are holding your organization back. This book provides a structured, risk-aware path to modernization on the Databricks platform.
You'll start by understanding why modern analytics demands have outgrown the warehouse paradigm, then explore the lakehouse architecture and the Databricks platform in depth. From there, you'll learn how to choose the right migration strategy, move data, code, and BI layers safely, and embed governance and security from the start using Unity Catalog.
Beyond migration, you'll discover how to manage costs with FinOps practices, integrate streaming and event-driven analytics, enable AI and ML workloads, and adopt data product thinking with domain ownership. Real-world patterns, common failure modes, and success metrics ensure you can apply every concept immediately.
By the end, you'll have the knowledge to lead a modernization initiative from assessment through execution, delivering a governed, AI-ready analytics platform that scales with your business.