The Data Lakehouse Revolution by Rajaniesh Kaushikk (.PDF)
File Size: 11.5 MB
The Data Lakehouse Revolution: Harnessing the Power of Databricks for Generative AI and Machine Learning by Rajaniesh Kaushikk
Requirements: .PDF reader, 11.5 MB
Overview: We are racing toward a new kind of AI—faster, 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 Databricks—no 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. The Databricks AutoML Python API offers a programmatic approach to running AutoML experiments directly within a notebook. Instead of using the Databricks UI, users can configure and execute AutoML runs using Python, making it ideal for integration into automated workflows and reproducible experiments. For Azure administrators, data architects, and data engineers.
Genre: Non-Fiction > Tech & Devices
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