Kniha Databricks Data Intelligence Platform Nikhil Gupta

Databricks Data Intelligence Platform

A Practitioner's Guide to Building Scalable, Unified, and Open Data Platforms

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
41.70
This is your comprehensive guide to the intricacies of building robust Generative AI solutions using...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2024
Stránok
300
EAN
9798868804434
Enbook ID
46022395
Vydavateľ
Hmotnosť
680
Rozmery
155 x 235

Kompletný popis

This is your comprehensive guide to the intricacies of building robust Generative AI solutions using the Databricks Data Intelligence Platform. The platform is the fastest growing data platform and it offers unified analytics and AI capabilities in a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization, in order to train a high-quality large language model (LLM), whether you are looking for RAG or fine tuning.Its importance lies in providing a scalable and efficient solution for managing large volumes of structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's Gen AI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and competitive advantage in the digital age. This book will not only help you master the Data Intelligence Platform, but it will help power your enterprise to the next level with a bespoke LLM that only your organization will own.Beginning with foundational principles, the book covers setting up Databricks clusters for efficient data processing and explores best practices for ingestion, transformation, and storage with Databricks Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for Gen AI. With practical examples, insights, and best practices, this book equips data engineers and solution architects with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises.Whether you are new to Databricks and trying to learn a new platform or a seasoned practitioner building a data pipeline, a data science model, or building a new Gen AI application-or even if you are an executive who wants to communicate the value of Databricks to customers-this book is for you. It also serves as an excellent reference guide if you are looking to prepare for Databricks certification exams. Co-written by a current Databricks employee and a seasoned, unaffiliated practitioner, this book combines an insider's perspective, complete with up-to-date looks at internal best practices, with that of an objective user, delivering a cutting-edged but grounded deep dive you can depend on. What You Will LearnUnderstand the foundational principles of Lakehouse architectureMaster the end-to-end Databricks Intelligence PlatformBuild Gen AI Applications from Data Ingestion to Model ServingDeploy Gen AI Applications into productionMonetize your model with Databricks Marketplace Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and everyone who wants to deploy their Gen AI solutions effortlessly. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.

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