---
product_id: 599439421
title: "Databricks Lakehouse Platform Cookbook: 100+ recipes for building a scalable and secure Databricks Lakehouse (English Edition)"
price: "S$41"
currency: SGD
in_stock: true
reviews_count: 4
url: https://www.desertcart.sg/products/599439421-databricks-lakehouse-platform-cookbook-100-recipes-for-building-a-scalable
store_origin: SG
region: Singapore
---

# 468 pages of deep expertise Focus on scalable & secure Lakehouse 100+ practical Databricks recipes Databricks Lakehouse Platform Cookbook: 100+ recipes for building a scalable and secure Databricks Lakehouse (English Edition)

**Price:** S$41
**Availability:** ✅ In Stock

## Summary

> 🚀 Elevate your data game with the ultimate Databricks Lakehouse playbook!

## Quick Answers

- **What is this?** Databricks Lakehouse Platform Cookbook: 100+ recipes for building a scalable and secure Databricks Lakehouse (English Edition)
- **How much does it cost?** S$41 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.sg](https://www.desertcart.sg/products/599439421-databricks-lakehouse-platform-cookbook-100-recipes-for-building-a-scalable)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Comprehensive & Practical:** 100+ recipes covering everything from setup to advanced graph analysis and visualization.
- • **Unlock Real-Time Insights:** Leverage Delta Live Tables and Spark SQL for lightning-fast data processing.
- • **Build Actionable ML Models:** Integrate MLflow, Feature Store, and AutoML to transform data into business impact.
- • **Governance & Security First:** Implement best practices to keep your data compliant and secure at scale.
- • **Master the Medallion Architecture:** Step-by-step guidance from Bronze to Gold layers for flawless data refinement.

## Overview

The Databricks Lakehouse Platform Cookbook is a 468-page, expertly crafted guide offering over 100 practical recipes to design, build, and optimize scalable and secure Lakehouse environments. It covers the full data lifecycle—from ingestion and transformation across Bronze, Silver, and Gold layers to advanced machine learning workflows and governance—empowering data professionals to deliver impactful, data-driven solutions.

## Description

Analyze, Architect, and Innovate with Databricks Lakehouse Key Features ● Create a Lakehouse using Databricks, including ingestion from source to Bronze. ● Refinement of Bronze items to business-ready Silver items using incremental methods. ● Construct Gold items to service the needs of various business requirements. Description The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results. This definitive guide walks you through the entire Lakehouse journey, from setting up your environment, and connecting to storage, to creating Delta tables, building data models, and ingesting and transforming data. We start off by discussing how to ingest data to Bronze, then refine it to produce Silver. Next, we discuss how to create Gold tables and various data modeling techniques often performed in the Gold layer. You will learn how to leverage Spark SQL and PySpark for efficient data manipulation, apply Delta Live Tables for real-time data processing, and implement Machine Learning and Data Science workflows with MLflow, Feature Store, and AutoML. The book also delves into advanced topics like graph analysis, data governance, and visualization, equipping you with the necessary knowledge to solve complex data challenges. By the end of this cookbook, you will be a confident Lakehouse expert, capable of designing, building, and managing robust data-driven solutions. What you will learn ● Design and build a robust Databricks Lakehouse environment. ● Create and manage Delta tables with advanced transformations. ● Analyze and transform data using SQL and Python. ● Build and deploy machine learning models for actionable insights. ● Implement best practices for data governance and security. Who this book is for This book is meant for Data Engineers, Data Analysts, Data Scientists, Business intelligence professionals, and Architects who want to go to the next level of Data Engineering using the Databricks platform to construct Lakehouses. Table of Contents 1. Introduction to Databricks Lakehouse 2. Setting-up a Databricks Workspace 3. Connecting to Storage 4. Creating Delta Tables 5. Data Profiling and Modeling in the Lakehouse 6. Extracting from Source and Loading to Bronze 7. Transforming to Create Silver 8. Transforming to Create Gold for Business Purposes 9. Machine Learning and Data Science 10. SQL Analysis 11. Graph Analysis 12. Visualizations 13. Governance 14. Operations 15. Tips, Tricks, Troubleshooting, and Best Practices

Review: The book is used for coding. - Good book
Review: Covers almost everything - I am BI developer was interested only medallion architecture but the books covers a lot like machine learning. By now some of stuff might be outdated but pretty much 90% relevant.

## Features

- Pages Count - 468. Binding type - Perfect.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 1,057,571 in Books ( See Top 100 in Books ) 5,803 in Computing & Internet Programming 66,331 in Business, Finance & Law |
| Customer Reviews | 4.1 out of 5 stars 16 Reviews |

## Images

![Databricks Lakehouse Platform Cookbook: 100+ recipes for building a scalable and secure Databricks Lakehouse (English Edition) - Image 1](https://m.media-amazon.com/images/I/81bl7OHunqL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ The book is used for coding.
*by S***R on 2 June 2025*

Good book

### ⭐⭐⭐⭐⭐ Covers almost everything
*by O***V on 4 November 2024*

I am BI developer was interested only medallion architecture but the books covers a lot like machine learning. By now some of stuff might be outdated but pretty much 90% relevant.

### ⭐ Outdated and verbose
*by A***M on 26 April 2026*

It might have been relevant years ago, but Databricks and Microsoft Azure have evolved significantly since then. While the core concepts are still correct, they’re harder to interpret in the context of today’s Databricks environment.

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*Product available on Desertcart Singapore*
*Store origin: SG*
*Last updated: 2026-10-02*