Agentic Analytics: When Your Data System Thinks, Acts, and Decides for Itself — Building the Next Generation of Autonomous Intelligence Pipelines Enterprise

Traditional data pipelines move data. Agentic analytics pipelines think, act, and decide. The data engineering and analytics architecture that most enterprises rely on today was designed for a world where humans interrogate data and machines move it. That architecture is being made obsolete - not by faster processing or better dashboards, but by a fundamentally different paradigm: systems that reason over data, generate their own hypotheses, take autonomous actions, and continuously improve without waiting for a human to ask a question. AGENTIC ANALYTICS is the definitive technical guide for data engineers, analytics architects, ML engineers, and data platform leaders who need to design, build, and govern enterprise-grade autonomous intelligence pipelines - systems that do not just process data, but think, act, and decide for themselves. This is not a business overview. This is the deep practitioner's guide to the architecture, implementation, and governance of the next generation of enterprise data intelligence. The shift that this book is built around: >What makes agentic analytics fundamentally different from everything that came before: Traditional BI: collect data → build a report → human reviews → human decides → human acts. >What you will build and master across seven core modules: MODULE 1 - FOUNDATIONS OF AGENTIC ANALYTICS MODULE 2 - AUTONOMOUS DATA PIPELINE ARCHITECTURE MODULE 3 - MULTI-AGENT ORCHESTRATION FOR DATA SYSTEMS MODULE 4 - AUTONOMOUS DECISION SYSTEMS MODULE 5 - AGENTIC RAG AND KNOWLEDGE SYSTEMS MODULE 6 - GENAIOPS FOR AGENTIC ANALYTICS MODULE 7 - GOVERNANCE, TRUST, AND ENTERPRISE COMPLIANCE The production technology stack - covered in full depth: >Who this book is written for: >The gap between traditional data architecture and agentic analytics architecture is the gap between organisations that react to data and organisations that operate from data intelligence - continuously, autonomously, and at scale. This is the complete engineering guide to closing that gap.

Pagina's: 361, Paperback, Independently published