Data Agents on Databricks: Building harnesses that monitor, diagnose, and fix your pipelines

Prepare for the next generation of data engineering—where AI agents do more than answer questions: they monitor, diagnose, verify, and improve real data pipelines.Data Agents on Databricks is a hands-on guide for technology professionals, students, and candidates preparing for public-sector IT exams, technical assessments, certifications, and competitive technology roles.Instead of presenting disconnected concepts, the book follows Forge, an evolving reference project that begins with a simple agentic loop and grows into a production-ready architecture. Through this journey, you will understand how AI agents can work safely with Databricks, LangGraph, Unity Catalog, Lakeflow, MCP, data contracts, and the Bronze–Silver–Gold medallion architecture.By reading this book, you will learn how to:design agentic loops that collect context, act, verify results, and stop safely;monitor pipeline health and investigate Databricks job failures;use metadata, schemas, lineage, logs, and repositories to identify root causes;build specialized agents for diagnosis, correction, discovery, and auditing;orchestrate multi-agent workflows with LangGraph;apply guardrails, stopping criteria, human approval, and durable execution;protect sensitive information and reduce the risks of excessive agent autonomy;control token usage, infrastructure costs, and operational budgets;understand observability, testing, governance, PII protection, and continuous learning.This book will help you move beyond memorizing isolated definitions. You will develop the architectural reasoning required to analyze scenarios, compare solutions, answer technical questions, and explain how modern data platforms operate.Whether you are preparing for a public-sector technology position, strengthening your data-engineering career, or studying for technical interviews and assessments, this book will give you a practical and structured understanding of one of the most important developments in modern software and data architecture.Master the loop. Understand the harness. Build data agents that can be trusted. Read more