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Practical Implementation of a Data Lake
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Table of Contents

Chapter 1: Understanding the Customer Needs.- Chapter 2: Security Model.- Chapter 3: Organizational Model.- Chapter 4: Data Lake Structure.- Chapter 5: Production Playground.- Chapter 6: Production Operationalization.- Chapter 7: Miscellaneous.


About the Author

Nayanjyoti Paul is an Associate Director and Chief Azure Architect for GenAI and LLM CoE for Accenture. He is the product owner and creator of a patented asset. Presently, he leads multiple projects as a lead architect around generative AI , large language models, data analytics, and machine learning. Nayan is a certified Master Technology Architect, certified Data Scientist, and certified Databricks Champion with additional AWS and Azure certifications. He is a speaker at conferences like Strata Conference, Data Works Summit, and AWS Reinvent. He also delivers guest lectures at Universities.

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