Building Trusted Data Platforms, 2nd Ed. by Manoj Kukreja (.ePUB)+
File Size: 49 MB
Building Trusted Data Platforms with Azure Databricks and GenAI: A Hands-On Guide to Creating Governed Data Products in a Lakehouse, 2nd Edition by Manoj Kukreja
Requirements: .PDF/.ePUB reader, 51/49 mb
Overview: Discover the defining hallmarks of future‑ready data platforms, including data mesh architectures, intelligent automation, and end‑to‑end data observability. Learn how to design and deliver trusted data products through data contracts, federated governance, decentralized domain ownership, and endorsed datasets. The book explores modern Lakehouse patterns with a strong focus on the medallion architecture, explaining how bronze, silver, and gold layers transform raw data into analytics‑ready assets governed through Unity Catalog. You’ll gain practical guidance on MDM linkages, survivorship rules, and entity resolution to ensure consistent master data across domains. It also covers real‑time and streaming pipelines that integrate seamlessly with the Lakehouse. We focus on self‑service analytics, showing how governed data products let business users explore, analyze, and derive insights independently with confidence. Finally, understand how GenAI accelerates platform development through automated code generation using tools like Claude Code and Databricks Genie Code, enabling faster pipeline creation, governance, and analytics delivery.
Genre: Non-Fiction > Tech & Devices
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