Data Mesh Data Fabric
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Principles Of Data Fabric
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Author : Sonia Mezzetta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-04-06
Principles Of Data Fabric written by Sonia Mezzetta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Computers categories.
Apply Data Fabric solutions to automate Data Integration, Data Sharing, and Data Protection across disparate data sources using different data management styles. Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to design Data Fabric architecture effectively with your choice of tool Build and use a Data Fabric solution using DataOps and Data Mesh frameworks Find out how to build Data Integration, Data Governance, and Self-Service analytics architecture Book Description Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered. The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You'll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you'll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles. By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution. What you will learn Understand the core components of Data Fabric solutions Combine Data Fabric with Data Mesh and DataOps frameworks Implement distributed data management and regulatory compliance using Data Fabric Manage and enforce Data Governance with active metadata using Data Fabric Explore industry best practices for effectively implementing a Data Fabric solution Who this book is for If you are a data engineer, data architect, or business analyst who wants to learn all about implementing Data Fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate Data Fabric architecture into the broader ecosystem.
Streaming Data Mesh
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Author : Hubert Dulay
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-05-11
Streaming Data Mesh written by Hubert Dulay and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-11 with Computers categories.
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data
Data Fabric And Data Mesh Approaches With Ai
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Author : Eberhard Hechler
language : en
Publisher: Apress
Release Date : 2023-04-08
Data Fabric And Data Mesh Approaches With Ai written by Eberhard Hechler and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-08 with Computers categories.
Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance—all designed to deliver "data as a product" within hybrid cloud landscapes. This book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience. By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unified data governance and compliance, enterprise information architecture, AI and hybrid cloud landscapes, and intelligent cataloging and metadata management. What You Will Learn Discover best practices and methods to successfully implement a data fabric architecture and data mesh solution Understand key data fabric capabilities, e.g., self-service data discovery, intelligent data integration techniques, intelligent cataloging and metadata management, and trustworthy AI Recognize the importance of data fabric to accelerate digital transformation and democratize data access Dive into important data fabric topics, addressing current data fabric challenges Conceive data fabric and data mesh concepts holistically within an enterprise context Become acquainted with the business benefits of data fabric and data mesh Who This Book Is For Anyone who is interested in deploying modern data fabric architectures and data mesh solutions within an enterprise, including IT and business leaders, data governance and data office professionals, data stewards and engineers, data scientists, and information and data architects. Readers should have a basic understanding of enterprise information architecture.
Data Fabric Architectures
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Author : Vandana Sharma
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-05-22
Data Fabric Architectures written by Vandana Sharma and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Computers categories.
The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos. This edited book gathers together an international set of researchers to investigate the possibilities offered by data-fabric solutions; the volume focuses in particular on data architectures and on semantic changes in future data landscapes.
The 90 Day Sprint To Accelerate Data Driven Transformation
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Author : Jit Papneja
language : en
Publisher: Jit Papneja
Release Date : 2023-12-12
The 90 Day Sprint To Accelerate Data Driven Transformation written by Jit Papneja and has been published by Jit Papneja this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-12 with Computers categories.
“The 90 Day Sprint is a game-changer in the world of data strategy. Jit Papneja has distilled complex concepts into a concise, actionable guide that empowers businesses to unlock the true value of their data. This book is an indispensable companion for anyone navigating the challenges of the data landscape, providing invaluable insights that are both practical and transformative. A must primer for all organizations that want to use their data to drive growth.” - Dr. Jyo Jain, Ph.D., Head of Strategic Insights & Analytics, J&J MedTech Asia-Pacific “Jit Papneja has articulated a disciplined and comprehensive approach and framework for data strategy, governance, and management. This book is a great guide for those seeking to plan and execute a successful sprint for an effective data analytics transformation.” - Jatinder "Ronny" Bindra, Leader, Digital Products, Constellation Brands “Most transformation fails, not because of the plan, but because of the ability to execute the plan! The 90 Day Sprint, structured around the D.E.C.I.D.E.R model, is sure to strengthen any organization’s Data Driven transformation journey, through a creative step by step approach, based on real insights and learnings.” - Pete West, Sr. VP Marketing Transformation at Reynolds American Inc. Are you struggling to harness the power of data, AI, and Gen AI in your business? Are you feeling overwhelmed by the sheer volume of data at your disposal? Are you unsure how to implement and scale data-driven transformation? In today’s digital age, data, AI, and Gen AI are increasingly becoming the driving forces behind business growth, innovation, and competitive advantage. Organizations that harness data-driven insights are 23 times more likely to acquire customers, 6 times as likely to retain them, and 19 times more likely to achieve profitability. Organizations that apply personalization can realize $20 return on every $1 invested. However, this data-driven transformation is not a small feat and takes substantial resources, time, and careful planning. Think of this as a marathon with multiple sprints within, and the 90-day (13 weeks) sprint I have included in this book should serve as the essential kickstart for your journey and help you develop a robust plan for the transformation. This book will guide you through a comprehensive D.E.C.I.D.E.R. framework: setting up an agile cross-functional squad, formulating a robust data strategy, exploring, and prioritizing high-value use cases enriched with real-world success stories, launching empowered and governed self-service, and much more. With my practical advice and proven techniques, honed over 25 years of experience, you will unlock the full potential of data, and attain the data-driven success you’ve always aspired to achieve. So, why wait?Are you ready to be data-driven? Let’s get started!
Data Mesh In Action
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Author : Jacek Majchrzak
language : en
Publisher: Simon and Schuster
Release Date : 2023-03-21
Data Mesh In Action written by Jacek Majchrzak and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size. In Data Mesh in Action you will learn how to: Implement a data mesh in your organization Turn data into a data product Move from your current data architecture to a data mesh Identify data domains, and decompose an organization into smaller, manageable domains Set up the central governance and local governance levels over data Balance responsibilities between the two levels of governance Establish a platform that allows efficient connection of distributed data products and automated governance Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You won’t need any new technology—this book shows you how to start implementing a data mesh with flexible processes and organizational change. You’ll explore both an extended case study and multiple real-world examples. As you go, you’ll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system. Plus, dozens of workshop techniques for both in-person and remote meetings help you onboard colleagues and drive a successful transition. About the technology Business increasingly relies on efficiently storing and accessing large volumes of data. The data mesh is a new way to decentralize data management that radically improves security and discoverability. A well-designed data mesh simplifies self-service data consumption and reduces the bottlenecks created by monolithic data architectures. About the book Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You’ll start by building a minimum viable data product, which you’ll expand into a self-service data platform, chapter-by-chapter. You’ll love the book’s unique “sliders” that adjust the mesh to meet your specific needs. You’ll also learn processes and leadership techniques that will change the way you and your colleagues think about data. What's inside Decompose an organization into manageable domains Turn data into a data product Set up central and local governance levels Build a fit-for-purpose data platform Improve management, initiation, and support techniques About the reader For data professionals. Requires no specific programming stack or data platform. About the author Jacek Majchrzak is a hands-on lead data architect. Dr. Sven Balnojan manages data products and teams. Dr. Marian Siwiak is a data scientist and a management consultant for IT, scientific, and technical projects. Table of Contents PART 1 FOUNDATIONS 1 The what and why of the data mesh 2 Is a data mesh right for you? 3 Kickstart your data mesh MVP in a month PART 2 THE FOUR PRINCIPLES IN PRACTICE 4 Domain ownership 5 Data as a product 6 Federated computational governance 7 The self-serve data platform PART 3 INFRASTRUCTURE AND TECHNICAL ARCHITECTURE 8 Comparing self-serve data platforms 9 Solution architecture design
Deciphering Data Architectures
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Author : James Serra
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-02-06
Deciphering Data Architectures written by James Serra and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Computers categories.
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: Gain a working understanding of several data architectures Learn the strengths and weaknesses of each approach Distinguish data architecture theory from reality Pick the best architecture for your use case Understand the differences between data warehouses and data lakes Learn common data architecture concepts to help you build better solutions Explore the historical evolution and characteristics of data architectures Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come.
Leveraging Advanced Technologies Business Model Innovation And The Future
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Author : Bahaaeddin Alareeni
language : en
Publisher: Springer Nature
Release Date : 2025-07-30
Leveraging Advanced Technologies Business Model Innovation And The Future written by Bahaaeddin Alareeni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-30 with Technology & Engineering categories.
This book examines how next-generation tools such as artificial intelligence, blockchain, and the Internet of Things are transforming not only the way companies operate, but also how they create value, define strategy, and drive growth. As emerging technologies reshape the business landscape, innovation has become a necessity rather than a choice. It offers an in-depth exploration of the evolving business model innovation landscape, combining diverse methodologies and real-world industry cases to illustrate the powerful intersection of technology and strategic transformation. Through practical insights, evidence-based analysis, and compelling case studies, this book equips decision-makers to adapt, innovate, and lead in a rapidly evolving digital environment. What You’ll Discover: !-- [if !supportLists]--· !--[endif]--The role of AI, blockchain, and IoT in reinventing business models !-- [if !supportLists]--· !--[endif]--Frameworks and strategies for leveraging disruptive technologies !-- [if !supportLists]--· !--[endif]--Policy and managerial insights to guide innovation in practice !-- [if !supportLists]--· !--[endif]--Case studies illustrating sector-specific applications and outcomes !-- [if !supportLists]--· !--[endif]--Multidisciplinary research perspectives supporting innovation management Ideal for scholars, professionals, executives, and policymakers, this book delivers the tools, clarity, and inspiration needed to navigate the future of business with confidence and creativity.
Data Science With Semantic Technologies
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Author : Archana Patel
language : en
Publisher: CRC Press
Release Date : 2023-06-20
Data Science With Semantic Technologies written by Archana Patel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Computers categories.
As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.
Knowledge Discovery Knowledge Engineering And Knowledge Management
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Author : Frans Coenen
language : en
Publisher: Springer Nature
Release Date : 2025-05-02
Knowledge Discovery Knowledge Engineering And Knowledge Management written by Frans Coenen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, held in Rome, Italy, during November 13-15, 2023. The 9 full papers and 8 short papers included in this book were carefully reviewed and selected from 166 submissions. They were organized in topical sections as follows: knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information systems.