The Data Lakehouse Revolution

We are racing toward a new kind of AIfaster, smarter, and more connected than ever. At the heart of it is the Data Lakehouse, and Databricks is the engine powering the transformation.

Whether you're a data scientist training models, an engineer scaling pipelines, or an architect modernizing your stack, this book gives you what you need to stay ahead. Inside, you'll understand how to unlock the full potential of Machine Learning and Generative AI (GenAI) using Databricksno fluff, just real tools, real strategies, and real results.

From MLFlow and AutoML to Unity Catalog, Retrieval Augment Generation (RAG), and Vector Search, you'll get a complete blueprint for building intelligent systems that actually work in production. With step-by-step labs, industry case studies, and expert tips from someone who's lived through the entire evolution of enterprise AI, this book is your guide to mastering what's next.

If you're serious regarding building AI that matters, this is where your journey begins.

What You'll Learn

• Build full-stack ML and GenAI solutions on Databricks
• Train and track models with MLFlow, AutoML, and tuning strategies
• Secure and govern data with Unity Catalog
• Apply explainable, ethical AI techniques
• Deploy and monitor ML models in real-world pipelines
• Use RAG and vector search to power GenAI applications

• Gain confidence with hands-on labs and real enterprise use cases
  Who This Book Is For

  Azure administrators, data architects, and data engineers

  Provides hands-on exercises and real-world case studies to apply LLM and ML concepts Covers step-by-step MLFlow experiment tracking and visualization techniques Includes cutting-edge insights into the future of AI, ML, and Azure Data Lakehouses

  Autorentext

Rajaniesh Kaushikk didn't just grow into a data and AI leaderhe's been building, learning, and teaching since the days when "cloud" only meant the weather. During the past 23 years, he has helped global teams harness the power of Generative AI, machine learning, data lakehouse platforms, and Apache Spark to turn complex challenges into scalable, intelligent solutions. He thrives at the intersection of technology, creativity, and communitywhere ideas are shared, innovations are built, and people grow.

Rajaniesh has received Most Valuable Professional awards from both Microsoft and Databricks, along with the distinction of Databricks Championhonors that reflect his deep commitment to sharing knowledge and driving meaningful impact in the field. He's a sought-after speaker at Microsoft and Databricks, regularly connecting with learners around the globe through his blog at RajanieshKaushikk.com and his YouTube channel @RajanieshKaushikk, where he breaks down complex topics into practical, accessible insights.

Outside of technology, Rajaniesh finds joy in cooking, listening to music, and spending time with his wife, daughter, and their ever-curious dog. For Rajaniesh, technology isn't just a professionit's a means to connect, create, and inspire the next generation of builders.

Inhalt

Chapter 1: Getting Started with Databricks.- Chapter 2: Introduction to Machine Learning and Data Lakehouses.- Chapter 3: Data Preparation and Management.- Chapter 4: Building Machine Learning Models.- Chapter 5: AutoML and Model Optimization.- Chapter 6: Deploying Machine Learning Models.- Chapter 7: Advanced Topics in Machine Learning.- **** Chapter 8: Lakehouse AI and Retrieval-Augmented Generation (RAG).- Chapter 9: Conclusion and Next Steps.