Principles Of Data Fabric

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Principles of Data Fabric

Sonia Mezzetta
Principles of Data Fabric Book PDF

Author : Sonia Mezzetta
Publisher : Packt Publishing Ltd
Page : 188 pages
File Size : 50,9 Mb
Release : 2023-04-06
Category : Computers
ISBN : 9781804613092

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Principles of Data Fabric by Sonia Mezzetta Pdf

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.

Data Mesh

Zhamak Dehghani
Data Mesh Book PDF

Author : Zhamak Dehghani
Publisher : "O'Reilly Media, Inc."
Page : 387 pages
File Size : 54,6 Mb
Release : 2022-03-08
Category : Computers
ISBN : 9781492092360

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Data Mesh by Zhamak Dehghani Pdf

Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Data Fabric Architectures

Vandana Sharma,Balamurugan Balusamy,J. Joshua Thomas,L. Godlin Atlas
Data Fabric Architectures Book PDF

Author : Vandana Sharma,Balamurugan Balusamy,J. Joshua Thomas,L. Godlin Atlas
Publisher : Walter de Gruyter GmbH & Co KG
Page : 243 pages
File Size : 54,9 Mb
Release : 2023-05-22
Category : Computers
ISBN : 9783111001142

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Data Fabric Architectures by Vandana Sharma,Balamurugan Balusamy,J. Joshua Thomas,L. Godlin Atlas Pdf

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.

Practical Data Quality

Robert Hawker
Practical Data Quality Book PDF

Author : Robert Hawker
Publisher : Packt Publishing Ltd
Page : 318 pages
File Size : 45,5 Mb
Release : 2023-09-29
Category : Computers
ISBN : 9781804619438

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Practical Data Quality by Robert Hawker Pdf

Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making Key Features Get a practical explanation of data quality concepts and the imperative for change when data is poor Gain insights into linking business objectives and data to drive the right data quality priorities Explore the data quality lifecycle and accelerate improvement with the help of real-world examples Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPoor data quality can lead to increased costs, hinder revenue growth, compromise decision-making, and introduce risk into organizations. This leads to employees, customers, and suppliers finding every interaction with the organization frustrating. Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you’ll work with real-world examples and utilize re-usable templates to accelerate your initiatives. By the end of this book, you’ll have gained a clear understanding of every stage of a data quality initiative and be able to drive tangible results for your organization at pace.What you will learn Explore data quality and see how it fits within a data management programme Differentiate your organization from its peers through data quality improvement Create a business case and get support for your data quality initiative Find out how business strategy can be linked to processes, analytics, and data to derive only the most important data quality rules Monitor data through engaging, business-friendly data quality dashboards Integrate data quality into everyday business activities to help achieve goals Avoid common mistakes when implementing data quality practices Who this book is for This book is for data analysts, data engineers, and chief data officers looking to understand data quality practices and their implementation in their organization. This book will also be helpful for business leaders who see data adversely affecting their success and data teams that want to optimize their data quality approach. No prior knowledge of data quality basics is required.

Data Science with Semantic Technologies

Archana Patel,Narayan C. Debnath
Data Science with Semantic Technologies Book PDF

Author : Archana Patel,Narayan C. Debnath
Publisher : CRC Press
Page : 293 pages
File Size : 54,8 Mb
Release : 2023-06-20
Category : Computers
ISBN : 9781000881233

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Data Science with Semantic Technologies by Archana Patel,Narayan C. Debnath Pdf

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.

Introduction to Data Platforms

Anthony David Giordano
Introduction to Data Platforms Book PDF

Author : Anthony David Giordano
Publisher : Fulton Books, Inc.
Page : 200 pages
File Size : 48,7 Mb
Release : 2022-11-03
Category : Computers
ISBN : 9798885053877

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Introduction to Data Platforms by Anthony David Giordano Pdf

Digital, cloud, and artificial intelligence (AI) have disrupted how we use data. This disruption has changed the way we need to provision, curate, and publish data for the multiple use cases in today's technology-driven environment. This text will cover how to design, develop, and evolve a data platform for all the uses of enterprise data needed in today's digital organization. This book focuses on explaining what a data platform is, what value it provides, how is it engineered, and how to deploy a data platform and support organization. In this context, Introduction to Data Platforms reviews the current requirements for data in the digital age and quantifies the use cases; discusses the evolution of data over the past twenty years, which is a core driver of the modern data platform; defines what a data platform is and defines the architectural components and layers of a data platform; provides the architectural layers or capabilities of a data platform; reviews cloud- and commercial-software vendors that populate the data-platform space; provides a step-by-step approach to engineering, deploying, supporting, and evolving a data-platform environment; provides a step-by-step approach to migrating legacy data warehouses, data marts, and data lakes/sandboxes to a data platform; and reviews organizational structures for managing data platform environments.

Data Analytics and Management in Data Intensive Domains

Yannis Manolopoulos,Sergey Stupnikov
Data Analytics and Management in Data Intensive Domains Book PDF

Author : Yannis Manolopoulos,Sergey Stupnikov
Publisher : Springer
Page : 213 pages
File Size : 45,6 Mb
Release : 2019-07-03
Category : Computers
ISBN : 9783030235840

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Data Analytics and Management in Data Intensive Domains by Yannis Manolopoulos,Sergey Stupnikov Pdf

This book constitutes the refereed proceedings of the 20th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2018, held in Moscow, Russia, in October 2018. The 9 revised full papers presented together with three invited papers were carefully reviewed and selected from 54 submissions. The papers are organized in the following topical sections: FAIR data infrastructures, interoperability and reuse; knowledge representation; data models; data analysis in astronomy; text search and processing; distributed computing; information extraction from text.

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)

José Bravo,Sergio Ochoa,Jesús Favela
Proceedings of the International Conference on Ubiquitous Computing Ambient Intelligence UCAmI 2022 Book PDF

Author : José Bravo,Sergio Ochoa,Jesús Favela
Publisher : Springer Nature
Page : 1140 pages
File Size : 43,6 Mb
Release : 2022-11-20
Category : Computers
ISBN : 9783031213335

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Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) by José Bravo,Sergio Ochoa,Jesús Favela Pdf

This book reports a set of novel research initiatives on ambient intelligence and ubiquitous computing that help researchers and practitioners identify recent advances, as well as the frontiers in these study domains. During the last two decades, both study areas have gained great interest in industry and academia due to the benefits of using smart solutions in various application domains, such as health care, ambient-assisted living, personal security and privacy, citizen participation, provision of urban services, and precision agriculture and farming. The articles included in this book report solutions and provide empirical results on their suitability to address problems and opportunities in these application domains. The articles also include discussions on how the proposals and their evaluation results inform the design of the next generation of ubiquitous and smart systems. Researchers, practitioners, and graduate students take advantage of this knowledge to address innovation and engineering aspects of smart and ubiquitous solutions for the next decade.

Deciphering Data Architectures

James Serra
Deciphering Data Architectures Book PDF

Author : James Serra
Publisher : "O'Reilly Media, Inc."
Page : 278 pages
File Size : 46,5 Mb
Release : 2024-02-06
Category : Computers
ISBN : 9781098150730

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Deciphering Data Architectures by James Serra Pdf

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.

Principles of Data Integration

AnHai Doan,Alon Halevy,Zachary Ives
Principles of Data Integration Book PDF

Author : AnHai Doan,Alon Halevy,Zachary Ives
Publisher : Elsevier
Page : 522 pages
File Size : 52,5 Mb
Release : 2012-06-25
Category : Computers
ISBN : 9780124160446

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Principles of Data Integration by AnHai Doan,Alon Halevy,Zachary Ives Pdf

How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field. This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field. The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications.

Principles of Fabric Formation

Prabir Kumar Banerjee
Principles of Fabric Formation Book PDF

Author : Prabir Kumar Banerjee
Publisher : CRC Press
Page : 514 pages
File Size : 42,9 Mb
Release : 2014-12-19
Category : Technology & Engineering
ISBN : 9781466554443

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Principles of Fabric Formation by Prabir Kumar Banerjee Pdf

How Are Textile Fabrics Formed? Principles of Fabric Formation is a treatise on the modern production systems of woven, knitted, braided, nonwoven, triaxial, multiaxial, and 3D fabrics. This book offers a basic understanding of the technicalities involved in the formation of different types of textile fabrics, and brings out the relative merits and limitations of each production process in one single volume. Gain Insight into the World of Textile Fabrics Providing readers with an appreciation of the technicalities involved in the formation of different types of textile fabrics, the author describes all major fabric formation methods, and explains each stage of formation in the text. He also addresses all major topics related to the formation of different classes of textile fabrics, including yarn winding, warping, yarn sizing, woven fabric construction, weaving, weft knitting, warp knitting, braiding, nonwovens, and triaxial, multiaxial and 3D fabrics. Comprised of 16 chapters, this multifaceted work: Provides a technical description of fabric formation systems Focuses on the diverse technicalities involved in each and every stage of formation Contains a comprehensive compilation of the major principles involved Principles of Fabric Formation is an exclusive junior/senior undergraduate-level textbook with a focus on the diverse technical principles involved in production of the entire gamut of textile fabrics.

Data Management at Scale

Piethein Strengholt
Data Management at Scale Book PDF

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
Page : 412 pages
File Size : 53,8 Mb
Release : 2023-04-10
Category : Computers
ISBN : 9781098138837

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Data Management at Scale by Piethein Strengholt Pdf

As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Flow Architectures

James Urquhart
Flow Architectures Book PDF

Author : James Urquhart
Publisher : "O'Reilly Media, Inc."
Page : 280 pages
File Size : 44,7 Mb
Release : 2021-01-06
Category : Computers
ISBN : 9781492075844

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Flow Architectures by James Urquhart Pdf

Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet. This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process. Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streams Understand the value chain for flow integration through Wardley mapping visualization and promise theory modeling Walk through basic concepts behind today's event-driven systems marketplace Learn how today's integration patterns will influence the real-time events flow in the future Explore why companies should architect and build software today to take advantage of flow in coming years

Data Mesh

Brian Murray
Data Mesh Book PDF

Author : Brian Murray
Publisher : May Reads
Page : 0 pages
File Size : 49,9 Mb
Release : 2024-04-29
Category : Computers
ISBN : 9798224575442

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Data Mesh by Brian Murray Pdf

Data Mesh is a revolutionary new approach to data management and organization that has the potential to transform the way we think about data and its role in driving business outcomes. In this book, we explore the principles of Data Mesh and its application to the field of Data Science. At its core, Data Mesh is about decentralizing data ownership and empowering teams to take ownership of their own data domains. By breaking down data silos and enabling teams to collaborate more effectively, Data Mesh creates a more agile and scalable approach to data management that can adapt to the ever-changing needs of modern businesses. In the context of Data Science, Data Mesh provides a powerful framework for organizing and analyzing data in a way that enables teams to drive insights and make data-driven decisions. By enabling Data Science teams to work with data that is organized and managed in a more decentralized and collaborative way, Data Mesh can help to accelerate the pace of innovation and improve the quality of insights generated. In this book, we will explore the principles of Data Mesh and its application to Data Science in detail, providing practical guidance and real-world examples of how organizations can leverage this approach to drive better outcomes. From data modeling and governance to data visualization and analysis, we will cover all aspects of Data Mesh and its impact on the world of Data Science. Whether you are a Data Scientist, a data engineer, or a business leader looking to transform your organization's data management practices, this book is an essential guide to understanding and leveraging the power of Data Mesh. With its clear explanations, practical guidance, and real-world examples, this book will help you to unlock the full potential of your data and drive better outcomes for your organization.

Principles of Testing Soils, Rocks and Concrete

T.S. Nagaraj
Principles of Testing Soils Rocks and Concrete Book PDF

Author : T.S. Nagaraj
Publisher : Elsevier
Page : 725 pages
File Size : 46,6 Mb
Release : 1993-01-13
Category : Technology & Engineering
ISBN : 9780444599131

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Principles of Testing Soils, Rocks and Concrete by T.S. Nagaraj Pdf

Soils, rocks and concrete are the principal materials a civil engineer encounters in practice. This book deals with the material analogies, their implications in property characterization, giving attention to similar as well as dissimilar methods in respect of each of these three materials. It provides an integrated, systematic approach for realistic assessment of engineering properties of soils, rocks and concrete. Geotechnical engineers, civil engineers and materials scientists will be interested in this volume.