Analyze Architect and Innovate with Databricks LakehouseThe 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 datadriven 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 realtime 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 datadriven 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 FORThis 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.