Previous
Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI

Building Generative AI Agents: Using LangGraph, AutoGen, and...

$16.00
Next

Certified Ethical Hacker (CEH) Study Guide: In-Depth Guidance...

$25.00
Certified Ethical Hacker (CEH) Study Guide: In-Depth Guidance and Practice

Building Medallion Architectures: Designing with Delta Lake and...

Author: Piethein StrengholtLanguage: EnglishPublisher: O'Reilly MediaEdition: 1stPages: 826Year: 2025
$ USD
  • $ USD
  • ₦ NGN
  • € EUR
  • £ GBP
  • $ CAD

$15.00

🔒 Secure payments powered by Paystack, a Stripe company
📥 Instant download after payment

Add to Wishlist
Add to Wishlist

Description

Building Medallion Architectures: Designing with Delta Lake and Spark.

Build Scalable Data Platforms with the Medallion Architecture

Learn how to design reliable, modern data platforms using the Medallion architecture with Azure Databricks and Microsoft Fabric. This practical guide shows you how to organize, process, and manage data effectively so your organization can generate accurate insights and make better business decisions.

Book Overview

As organizations rely more heavily on data to drive innovation and maintain a competitive edge, a well-designed data architecture has become essential. The Medallion architecture has emerged as a proven approach for organizing data into Bronze, Silver, and Gold layers, improving data quality, governance, and analytics. However, implementing this architecture successfully requires thoughtful planning and the right technical strategies.

Drawing on extensive real-world experience, author Piethein Strengholt explains how to design and deploy a Medallion architecture using Azure Databricks and Microsoft Fabric. Rather than focusing solely on theory, the book addresses the practical challenges data professionals encounter during implementation, helping readers avoid common mistakes and adopt proven architectural practices.

Through detailed explanations and real-world examples, you’ll learn how to structure scalable data pipelines, improve governance and security, manage enterprise data efficiently, and prepare your platform for emerging technologies such as generative AI. The book also includes practical case studies that demonstrate how organizations have successfully implemented modern data architectures, highlighting both the challenges they faced and the lessons they learned.

Whether you’re building a new analytics platform or modernizing an existing one, this guide provides the knowledge and best practices needed to create a flexible, high-performance data ecosystem that supports long-term business objectives.

What You’ll Learn

  • Design and implement a Medallion architecture using Azure Databricks and Microsoft Fabric
  • Understand the purpose and best practices of the Bronze, Silver, and Gold data layers
  • Build scalable, reliable, and maintainable data pipelines
  • Learn from real-world implementation case studies and practical lessons
  • Strengthen data governance, security, and compliance across your platform
  • Explore strategies for scaling enterprise data architectures
  • Incorporate modern technologies, including generative AI, into your data ecosystem
  • Make informed architectural decisions based on proven industry practices
  • Align technical solutions with broader organizational and business goals

Who Should Read This Book?

This book is intended for data architects, data engineers, analytics engineers, cloud professionals, and technical leaders who want to design or improve enterprise-scale data platforms. It is also valuable for teams adopting Azure Databricks, Microsoft Fabric, or the Medallion architecture for modern analytics and business intelligence projects.

Reviews

There are no reviews yet.

Be the first to review “Building Medallion Architectures: Designing with Delta Lake and...”

Your email address will not be published. Required fields are marked *

Shopping cart

0
image/svg+xml

No products in the cart.

Continue Shopping