{"product_id":"redefining-data-engineering-with-ai","title":"Redefining Data Engineering with AI","description":"While much of data engineering still means writing repetitive code, stitching together orchestration tools, and manually validating systems, the emergence of AI-assisted development is fast transforming this work. Redefining Data Engineering with AI introduces the concept of agentic engineering, a structured approach in which engineers express intent in natural language, and AI generates pipelines, documentation, test suites, and monitoring. Engineers remain in control, focusing on big-picture design, governance, and quality while delegating routine implementation to AI.   This go-to guide uses realistic case studies to show how large language models can support each phase of a data project. Through a guided build of a patient search platform, you'll learn how to design systems that integrate AI responsibly and effectively. Each chapter leads you through a practical step in the lifecycle, illustrating exactly where AI adds value and where human input is most crucial.   Describe business goals and translate them into pipeline-ready assetsGenerate code, test cases, and documentation using structured promptsIntegrate LLMs and governance into modern data workflowsAutomate observability and reduce operational drift with AI-driven monitoringCreate secure data products while preserving compliance and qualityAdopt a repeatable, intent-driven framework for scalable data practices","brand":"Gardners","offers":[{"title":"Default Title","offer_id":57680250470773,"sku":"9798341672840","price":63.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9798341672840.jpg?v=1792423562","url":"https:\/\/backstory.london\/products\/redefining-data-engineering-with-ai","provider":"Backstory","version":"1.0","type":"link"}