September 2025
Intermediate to advanced
384 pages
11h 34m
English
Content preview from Data Governance with Unity Catalog on Databricks
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Prologue: Governance by Choice
Data is useful. High-quality, well-understood, auditable data is priceless.
Ted Friedman, Gartner
In 2015, Nexa Boutique—a fictional company we’ll be using as an example in this book—was incorporated as a startup in the online fashion retail industry headquartered in the United States (US). Nexa Boutique is committed to promoting sustainable fashion practices through the design, production, and sale of eco-friendly clothing and accessories. With a bold vision to revolutionize the retail industry, Nexa Boutique set out to utilize the power of data-driven insights. It leveraged the increasing popularity of data lake architectures to support business decisions and investments, which positioned the company at the forefront of the industry’s transformation, driven by data analytics. In the early stages of its journey, Nexa Boutique made a strategic decision to invest heavily in its data lake platform. This proved to be a catalyst that accelerated growth by leveraging predictive analytics to optimize the supply chain and forecast market trends and customer behavior.
Definition: Nexa Boutique
Nexa Boutique, or Nexa, as we refer to it throughout the book—a name that combines “Nexa,” implying next-generation innovation, with “boutique,” a French term for a specialized shop—is our hypothetical example of a company that has been hugely successful in democratizing data by implementing Unity Catalog. All descriptions of its internal workings and data journey ...
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