databricks data intelligence platform de gupta nikhil (14 resultados)

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Paperback. Condición: New. This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with 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 GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers 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,  a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topics Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. 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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Condición: As New. Unread book in perfect condition.

Condición: New. This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance fr.

Taschenbuch. Condición: Neu. Databricks Data Intelligence Platform | Unlocking the GenAI Revolution | Nikhil Gupta (u. a.) | Taschenbuch | Kartoniert | Englisch | 2024 | Apress | EAN 9798868804434 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

Paperback. Condición: New. This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with 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 GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers 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,  a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topics Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. 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.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Unlock the full potential of the Databricks Data Intelligence Platform in this fully updated second edition your definitive guide to building enterprise-ready Generative AI (GenAI) solutions, managing complex data workflows, and deploying intelligent applications at scale. Whether you're a data engineer, AI developer, data scientist, or technology leader, this book empowers you to transform your organization with cutting-edge AI capabilities.This edition brings a sharp focus to the latest advancements in Artificial Intelligence within Databricks. Learn how to build bespoke LLMs tailored to your enterprise, streamline development with Lakeflow and Declarative Pipelines, and harness the power of Agent Bricks and serverless GPU now fully integrated with Mosaic AI. You ll also discover how Lakebase and Databricks Apps enable developers to create secure, governed AI experiences directly within the data ecosystem managed by Unity Catalog.Whether you're new to Databricks and seeking a comprehensive, accessible introduction, or an experienced professional aiming to master the platform s latest AI capabilities and scale GenAI initiatives, this book delivers the insights, tools, and best practices you need to lead in today s data-driven, AI-powered enterprise landscape.This book is an Open access publicationWhat You Will LearnKnow the core principles of Lakehouse architecture, now enhanced with LakebaseTake a deep dive into Mosaic AI, Agent Bricks, and serverless GPU for scalable AI developmentUnderstand best practices for building and deploying GenAI applications from data ingestion to model serving and user interface integrationUse Lakeflow, Declarative Pipelines, and Agent Bricks to streamline data and AI workflowsBuild secure, governed AI apps using Databricks Apps and Unity CatalogWho This Book Is ForSolution architects, data engineers, data scientists, and Databricks practitioners who want to build and deploy Generative AI solutions using the Databricks Data Intelligence Platform. It s also a strategic resource for senior executives seeking to articulate the business value of Databricks to customers and stakeholders. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible. 461 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization.Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with 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 GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers 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, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams.What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topicsWho This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. 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. 473 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization.Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with 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 GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers 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, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams.What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topicsWho This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unlock the full potential of the Databricks Data Intelligence Platform in this fully updated second edition your definitive guide to building enterprise-ready Generative AI (GenAI) solutions, managing complex data workflows, and deploying intelligent applications at scale. Whether you're a data engineer, AI developer, data scientist, or technology leader, this book empowers you to transform your organization with cutting-edge AI capabilities.This edition brings a sharp focus to the latest advancements in Artificial Intelligence within Databricks. Learn how to build bespoke LLMs tailored to your enterprise, streamline development with Lakeflow and Declarative Pipelines, and harness the power of Agent Bricks and serverless GPU now fully integrated with Mosaic AI. You ll also discover how Lakebase and Databricks Apps enable developers to create secure, governed AI experiences directly within the data ecosystem managed by Unity Catalog.Whether you're new to Databricks and seeking a comprehensive, accessible introduction, or an experienced professional aiming to master the platform s latest AI capabilities and scale GenAI initiatives, this book delivers the insights, tools, and best practices you need to lead in today s data-driven, AI-powered enterprise landscape.This book is an Open access publicationWhat You Will LearnKnow the core principles of Lakehouse architecture, now enhanced with LakebaseTake a deep dive into Mosaic AI, Agent Bricks, and serverless GPU for scalable AI developmentUnderstand best practices for building and deploying GenAI applications from data ingestion to model serving and user interface integrationUse Lakeflow, Declarative Pipelines, and Agent Bricks to streamline data and AI workflowsBuild secure, governed AI apps using Databricks Apps and Unity CatalogWho This Book Is ForSolution architects, data engineers, data scientists, and Databricks practitioners who want to build and deploy Generative AI solutions using the Databricks Data Intelligence Platform. It s also a strategic resource for senior executives seeking to articulate the business value of Databricks to customers and stakeholders. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.