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Building Trusted Data Platforms with Azure Databricks and GenAI. A Hands-On Guide to Creating Governed Data Products in a Lakehouse - Second Edition Manoj Kukreja

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Building Trusted Data Platforms with Azure Databricks and GenAI. A Hands-On Guide to Creating Governed Data Products in a Lakehouse - Second Edition Manoj Kukreja - okladka książki

Building Trusted Data Platforms with Azure Databricks and GenAI. A Hands-On Guide to Creating Governed Data Products in a Lakehouse - Second Edition Manoj Kukreja - okladka książki

Building Trusted Data Platforms with Azure Databricks and GenAI. A Hands-On Guide to Creating Governed Data Products in a Lakehouse - Second Edition Manoj Kukreja - audiobook MP3

Building Trusted Data Platforms with Azure Databricks and GenAI. A Hands-On Guide to Creating Governed Data Products in a Lakehouse - Second Edition Manoj Kukreja - audiobook CD

Autor:
Manoj Kukreja
Ocena:
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. A dedicated focus is placed on self‑service analytics, showing how governed data products empower business users to 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.

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O autorze książki

Manoj Kukreja is a Principal Architect at Northbay Solutions who specializes in creating complex Data Lakes and Data Analytics Pipelines for large-scale organizations such as banks, insurance companies, universities, and US/Canadian government agencies. Previously, he worked for Pythian, a large managed service provider where he was leading the MySQL and MongoDB DBA group and supporting large-scale data infrastructure for enterprises across the globe. With over 25 years of IT experience, he has delivered Data Lake solutions using all major cloud providers including AWS, Azure, GCP, and Alibaba Cloud. On weekends, he trains groups of aspiring Data Engineers and Data Scientists on Hadoop, Spark, Kafka and Data Analytics on AWS and Azure Cloud.

Packt Publishing - inne książki

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