Description
Unlock the full potential of the Databricks Data Intelligence Platform in this fully updated second edition your definitive guide to building enterprise-ready Generative AI (GenAI) solutions, managing complex data workflows, and deploying intelligent applications at scale. Whether you're a data engineer, AI developer, data scientist, or technology leader, this book empowers you to transform your organization with cutting-edge AI capabilities.
This edition brings a sharp focus to the latest advancements in Artificial Intelligence within Databricks. Learn how to build bespoke LLMs tailored to your enterprise, streamline development with Lakeflow and Declarative Pipelines, and harness the power of Agent Bricks and serverless GPU now fully integrated with Mosaic AI. You ll also discover how Lakebase and Databricks Apps enable developers to create secure, governed AI experiences directly within the data ecosystem managed by Unity Catalog.
Whether you're new to Databricks and seeking a comprehensive, accessible introduction, or an experienced professional aiming to master the platform s latest AI capabilities and scale GenAI initiatives, this book delivers the insights, tools, and best practices you need to lead in today s data-driven, AI-powered enterprise landscape.
What You Will Learn
- Core principles of Lakehouse architecture, now enhanced with Lakebase
- Deep dive into Mosaic AI, Agent Bricks, and serverless GPU for scalable AI development
- Best practices for building and deploying GenAI applications from data ingestion to model serving and user interface integration
- How to use Lakeflow, Declarative Pipelines, and Agent Bricks to streamline data and AI workflows
- How to build secure, governed AI apps using Databricks Apps and Unity Catalog
Who This Book Is For
Solution architects, data engineers, data scientists, and Databricks practitioners who want to build and deploy Generative AI solutions using the Databricks Data Intelligence Platform. It s also a strategic resource for senior executives seeking to articulate the business value of Databricks to customers and stakeholders. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.
1.The Databricks Data Intelligence Platform: From the Lakehouse to Agents.- 2. The Databricks Data Intelligence Platform: From Playground to Model Serving.- 3. Agent Bricks: From Prototype to Production at Scale.- 4. Agent Bricks: A Deep Dive into Retrieval-Augmented Generation.- 5. Agentic AI Design Patterns and the Multi-Agent Supervisor.- 6. Databricks as an Agentic Framework (Genie, AI/BI, and More).- 7. Quality Tuning with Agent Bricks.- 8. Lakebase: The OLTP Database Within Databricks.- 9. Building Security-First, Production-Grade Databricks Apps.- 10. The AI Runtime (AIR): From Deep Learning to Generative AI.- 11. MLflow 3.0: GenAI Agents.- 12. Databricks Streaming and Real-Time Machine Learning.- 13. Lakeflow: Data Ingestion in the Lakehouse.- 14. Unity Catalog: The Best of Delta and Iceberg for Truly Unified Governance.- 15. Delta Lake: A Deep Dive with 4.0.- 16. Declarative Pipelines.- 17. Databricks SQL.- 18. Databricks Pricing.- 19. From Ideation to Creation: When GenAI Meets Surgery.
Jason Yip is a Databricks Most Valued Professional and Director of Data and AI at Tredence, a Databricks Elite Partner. He serves on Databricks advisory boards including the Partner Product Advisory Board and the Solution Architect Champion Advisory Board, and advises Fortune 500 companies on data and Generative AI strategies.
Nikhil Gupta is a Solution Architect at Databricks with over 18 years of experience in big data technologies. He helps customers across industries modernize data and AI platforms, with expertise spanning data warehousing, data lakes, and real-time data processing.
