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| gartner active metadata management: Principles of Data Fabric Sonia Mezzetta, 2023-04-06 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. |
| gartner active metadata management: The Enterprise Data Catalog Ole Olesen-Bagneux, 2023-02-15 Combing the web is simple, but how do you search for data at work? It's difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog. You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog. Written from a data management perspective and from a library and information science perspective, this book helps you: Learn what a data catalog is and how it can help your organization Organize data and its sources into domains and describe them with metadata Search data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphs Manage the data in your company via a data catalog Implement a data catalog in a way that exactly matches the strategic priorities of your organization Understand what the future has in store for data catalogs |
| gartner active metadata management: Developing a Path to Data Dominance Arthur Langer, Arka Mukherjee, 2023-04-25 Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science. |
| gartner active metadata management: T-Bytes Platforms & Applications V Gupta, 2019-10-31 This document brings together a set of latest data points and publicly available information relevant for Platforms & Applications. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
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| gartner active metadata management: Cloud Computing – CLOUD 2023 Min Luo, |
| gartner active metadata management: Data Science with Semantic Technologies Archana Patel, Narayan C. Debnath, 2023-06-20 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. |
| gartner active metadata management: The 90-day Sprint to Accelerate Data-Driven Transformation Jit Papneja, 2023-12-12 “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! |
| gartner active metadata management: The Digital Leader Emmanuel Udofia PhD, 2024-06-04 The fast changing global technological advancements within the last decade has heightened the need in finding a framework that will assist in identifying effective leadership style in Digital Technology implementation and sustainability. Digital Transformation simply refers to the application of technology to improve a business process. This book aims at defining the impact of effective leadership in the concept of Digital Transformation following failures of such projects and propose sustainable solution applicable globally. The leader in this context of Digital Transformation is a change agent or someone leading the delivery and sustenance of the Digital Transformation solutions, including the change management processes which constitute the key reason for the project survival. Poor framing of the implemented Digital Transformation solutions has been identified as the key reason behind failure of such projects and strong leadership is central in getting this initiative right, the first time. Orchestrated change management process through right leadership was demonstrated in this book as the way to go. Though solutions for any digital transformation initiative are asset specific and not one-size-fits-all or plug-and-play; this book proposed a hybrid leadership style (visionary, innovative and strategic) as the effective leadership style for digital transformation implementation based on the findings of the research work. This book will serve as a quick reference tool for similar Digital Solution implementation and management elsewhere. |
| gartner active metadata management: Business Metadata: Capturing Enterprise Knowledge W.H. Inmon, Bonnie O'Neil, Lowell Fryman, 2010-07-28 Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills. This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. - First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management - Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects - Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way - Includes sample unstructured metadata for use in self-testing and developing skills |
| gartner active metadata management: Data Management at Scale Piethein Strengholt, 2023-04-10 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 |
| gartner active metadata management: Gartner Group Symposium ITxpo , 1998 |
| gartner active metadata management: Metaverse Fatih Sinan Esen, Hasan Tinmaz, Madhusudan Singh, 2023-11-13 This book has a multidisciplinary approach to Metaverse studies and the relevance of Metaverse with the current and popular topics that concern society and how it will change them in the future. In addition, academic texts are included since not much scientific content is available in this field. In short, there are sections in the book that everyone will find useful. Most importantly, the topics are grouped under four main parts. The first is the Introduction, where the main issues are explained. In the second section—Technical Topics, the technological infrastructure of the subject is explained, followed by section three where the social and human dimensions of Metaverse are explained. The fourth and final section is on Industrial Applications. |
| gartner active metadata management: Information Systems: Methods, Models, and Applications Heinrich C. Mayr, Christian Kop, Stephen Liddle, Athula Ginige, 2013-06-17 This volume constitutes the proceedings of the 4th International United Information Systems Conference, UNISCON 2012, which was held in Yalta, Ukraine, during June 1-3, 2012. UNISCON 2012 was affiliated with the 8th International Conference on ICT in Education, Research, and Industrial Applications, ICTERI 2012. The 14 full papers, four short papers, and three extended abstracts presented with a keynote speech were carefully reviewed and selected from 96 submissions. The topical sections covered are: data management; applications; modeling and semantics; and social issues in information systems. |
| gartner active metadata management: World Internet Development Report 2022 Chinese Academy of Cyberspace Studies, |
| gartner active metadata management: Principles Of Data Analytics Ms. Charu Awasthi, Ms. Surbhi Vijh, Dr. Arpita Grover, Dr. Mayank Singh, 2023-03-09 Principles of Data Analytics refer to the process of using methods from the field of data science to derive useful information. Data collection is the first phase, followed by data preparation, and finally the use of different data analytics tools to get useful insights. The information gained through analysing, modelling, or visually representing data may be put to use in audit preparation and execution, and includes but is not limited to spotting trends, patterns, deviations, discrepancies, and relationships among data pieces. Competitive advantage may be gained by the use of data analytics, which allows for more informed decisionmaking. The public and commercial sectors are still experimenting with and exploring the potential benefits of data analytics since the field is continually developing. This book covers the fundamentals of data analytics, including how to get started with the area, what big data is, how to use Apache Hadoop, and how to visualise your data for better business decisions. In addition to its usefulness in ensuring data security, this book also discusses the foundation, ethics, and cutting-edge developments in the field of data analytics. |
| gartner active metadata management: Advanced Methodologies and Technologies in Business Operations and Management Khosrow-Pour, D.B.A., Mehdi, 2018-09-14 Businesses consistently work on new projects, products, and workflows to remain competitive and successful in the modern business environment. To remain zealous, businesses must employ the most effective methods and tools in human resources, project management, and overall business plan execution as competitors work to succeed as well. Advanced Methodologies and Technologies in Business Operations and Management provides emerging research on business tools such as employee engagement, payout policies, and financial investing to promote operational success. While highlighting the challenges facing modern organizations, readers will learn how corporate social responsibility and utilizing artificial intelligence improve a company’s culture and management. This book is an ideal resource for executives and managers, researchers, accountants, and financial investors seeking current research on business operations and management. |
| gartner active metadata management: O Catálogo de Dados Corporativo Ole Olesen-Bagneux, 2023-09-29 Realizar pesquisas na web é simples, mas como pesquisar por dados no ambiente de trabalho? É uma tarefa desafiadora que consome bastante tempo e, por vezes, pode parecer quase impossível. Este livro apresenta uma solução prática: o catálogo de dados. Analistas de dados, cientistas de dados e engenheiros de dados aprenderão como promover uma verdadeira descoberta de dados em suas organizações, tornando o catálogo uma ferramenta essencial para impulsionar a inovação orientada por dados e a governança de dados. O autor Ole Olesen-Bagneux explora os benefícios da implementação de um catálogo de dados. Você aprenderá como organizar dados em seu catálogo, pesquisar pelo que precisa e gerenciar os dados dentro dele. Escrito a partir de uma perspectiva de gerenciamento de dados e de biblioteconomia e ciência da informação, este livro ajudará você a: •Entender o que é um catálogo de dados e como ele pode ajudar sua organização •Organizar dados e suas fontes em domínios e descrevê-los com metadados •Pesquisar dados utilizando técnicas de pesquisa simples e complexas e aprender a navegar por domínios, linhagem de dados e grafos •Gerenciar os dados em sua empresa por meio de um catálogo de dados •Implementar um catálogo de dados de acordo com as prioridades estratégicas de sua organização •Ter uma visão clara do que o futuro reserva para os catálogos de dados Este livro destaca a enorme oportunidade que temos de extrair o máximo valor do investimento em dados por meio de um mecanismo de pesquisa de dados corporativos. —Ann Fogelgren Diretora de informações, Grupo GN Este livro, escrito com maestria e precisão, apresenta tanto os fundamentos conceituais quanto as ferramentas práticas para desenvolver e implementar catálogos de dados corporativos. —Jens-Erik Mai Professor de informação, Universidade de Copenhague |
| gartner active metadata management: Infonomics Douglas B. Laney, 2017-09-05 Many senior executives talk about information as one of their most important assets, but few behave as if it is. They report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in tracking and accounting for their office furniture than their data. Infonomics is the theory, study, and discipline of asserting economic significance to information. It strives to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. This book specifically shows: CEOs and business leaders how to more fully wield information as a corporate asset CIOs how to improve the flow and accessibility of information CFOs how to help their organizations measure the actual and latent value in their information assets. More directly, this book is for the burgeoning force of chief data officers (CDOs) and other information and analytics leaders in their valiant struggle to help their organizations become more infosavvy. Author Douglas Laney has spent years researching and developing Infonomics and advising organizations on the infinite opportunities to monetize, manage, and measure information. This book delivers a set of new ideas, frameworks, evidence, and even approaches adapted from other disciplines on how to administer, wield, and understand the value of information. Infonomics can help organizations not only to better develop, sell, and market their offerings, but to transform their organizations altogether. Doug Laney masterfully weaves together a collection of great examples with a solid framework to guide readers on how to gain competitive advantage through what he labels the unruly asset – data. The framework is comprehensive, the advice practical and the success stories global and across industries and applications. Liz Rowe, Chief Data Officer, State of New Jersey A must read for anybody who wants to survive in a data centric world. Shaun Adams, Head of Data Science, Betterbathrooms.com Phenomenal! An absolute must read for data practitioners, business leaders and technology strategists. Doug's lucid style has a set a new standard in providing intelligible material in the field of information economics. His passion and knowledge on the subject exudes thru his literature and inspires individuals like me. Ruchi Rajasekhar, Principal Data Architect, MISO Energy I highly recommend Infonomics to all aspiring analytics leaders. Doug Laney’s work gives readers a deeper understanding of how and why information should be monetized and managed as an enterprise asset. Laney’s assertion that accounting should recognize information as a capital asset is quite convincing and one I agree with. Infonomics enjoyably echoes that sentiment! Matt Green, independent business analytics consultant, Atlanta area If you care about the digital economy, and you should, read this book. Tanya Shuckhart, Analyst Relations Lead, IRI Worldwide |
| gartner active metadata management: Encyclopedia of Database Technologies and Applications Rivero, Laura C., Doorn, Jorge Horacio, Ferraggine, Viviana E., 2005-06-30 Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas.--P. xiii. |
| gartner active metadata management: Web Engineering for Workflow-based Applications Patrick Freudenstein, 2009 Workflow-based Web applications present a central pillar of companies' endeavors towards increased business process efficiency and flexibility. Considering their particular characteristics, this book presents innovative approaches for their efficient, completely model-driven construction with particular emphasis on effective stakeholder involvement, usability-oriented dialog design and cross-methodological reuse. |
| gartner active metadata management: Analytics and Big Data for Accountants Jim Lindell, 2020-11-03 Why is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results |
| gartner active metadata management: The Self-Service Data Roadmap Sandeep Uttamchandani, 2020-09-10 Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization |
| gartner active metadata management: Data Mesh in Action Jacek Majchrzak, Sven Balnojan, Marian Siwiak, 2023-02-14 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. Data Mesh in Action teaches you to establish a data mesh in organizations of any size. The book avoids a dogmatic one-size-fits-all approach and utilizes flexible sliders to adjust a data mesh to your company's specific needs. You'll learn processes and facilitative leadership techniques that will help change the way your colleagues think about data. Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You'll see a data mesh in action as you 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. |
| gartner active metadata management: Controlling Privacy and the Use of Data Assets - Volume 2 Ulf Mattsson, 2023-08-24 The book will review how new and old privacy-preserving techniques can provide practical protection for data in transit, use, and rest. We will position techniques like Data Integrity and Ledger and will provide practical lessons in Data Integrity, Trust, and data’s business utility. Based on a good understanding of new and old technologies, emerging trends, and a broad experience from many projects in this domain, this book will provide a unique context about the WHY (requirements and drivers), WHAT (what to do), and HOW (how to implement), as well as reviewing the current state and major forces representing challenges or driving change, what you should be trying to achieve and how you can do it, including discussions of different options. We will also discuss WHERE (in systems) and WHEN (roadmap). Unlike other general or academic texts, this book is being written to offer practical general advice, outline actionable strategies, and include templates for immediate use. It contains diagrams needed to describe the topics and Use Cases and presents current real-world issues and technological mitigation strategies. The inclusion of the risks to both owners and custodians provides a strong case for why people should care. This book reflects the perspective of a Chief Technology Officer (CTO) and Chief Security Strategist (CSS). The Author has worked in and with startups and some of the largest organizations in the world, and this book is intended for board members, senior decision-makers, and global government policy officials—CISOs, CSOs, CPOs, CTOs, auditors, consultants, investors, and other people interested in data privacy and security. The Author also embeds a business perspective, answering the question of why this an important topic for the board, audit committee, and senior management regarding achieving business objectives, strategies, and goals and applying the risk appetite and tolerance. The focus is on Technical Visionary Leaders, including CTO, Chief Data Officer, Chief Privacy Officer, EVP/SVP/VP of Technology, Analytics, Data Architect, Chief Information Officer, EVP/SVP/VP of I.T., Chief Information Security Officer (CISO), Chief Risk Officer, Chief Compliance Officer, Chief Security Officer (CSO), EVP/SVP/VP of Security, Risk Compliance, and Governance. It can also be interesting reading for privacy regulators, especially those in developed nations with specialist privacy oversight agencies (government departments) across their jurisdictions (e.g., federal and state levels). |
| gartner active metadata management: Data Warehousing Mark Humphries, Michael W. Hawkins, Michelle C. Dy, 1999 PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE |
| gartner active metadata management: Enterprise Cloud Strategy Barry Briggs, Eduardo Kassner, 2016-01-07 How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage. |
| gartner active metadata management: Non-Invasive Data Governance Robert S. Seiner, 2014-09-01 Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve. |
| gartner active metadata management: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| gartner active metadata management: Integrated Business Information Systems Klaus-Dieter Gronwald, 2017-05-30 Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Business Intelligence (BI) and Big Data Analytics (BDA) are business related tasks and processes, which are supported by standardized software solutions. The book explains that this requires business oriented thinking and acting from IT specialists and data scientists. It is a good idea to let students experience this directly from the business perspective, for example as executives of a virtual company. The course simulates the stepwise integration of the linked business process chain ERP-SCM-CRM-BI-Big Data of four competing groups of companies. The course participants become board members with full P&L responsibility for business units of one of four beer brewery groups managing supply chains from production to retailer. |
| gartner active metadata management: The Enterprise Data Catalog Ole Olesen-Bagneux, 2023-02-15 Combing the web is simple, but how do you search for data at work? It's difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog. You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog. Written from a data management perspective and from a library and information science perspective, this book helps you: Learn what a data catalog is and how it can help your organization Organize data and its sources into domains and describe them with metadata Search data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphs Manage the data in your company via a data catalog Implement a data catalog in a way that exactly matches the strategic priorities of your organization Understand what the future has in store for data catalogs |
| gartner active metadata management: Business Process Management Design Guide: Using IBM Business Process Manager Dr. Ali Arsanjani, Nakul Bharade, Magnus Borgenstrand, Philipp Schume, J. Keith Wood, Vyacheslav Zheltonogov, IBM Redbooks, 2015-04-27 IBM® Business Process Manager (IBM BPM) is a comprehensive business process management (BPM) suite that provides visibility and management of your business processes. IBM BPM supports the whole BPM lifecycle approach: Discover and document Plan Implement Deploy Manage Optimize Process owners and business owners can use this solution to engage directly in the improvement of their business processes. IBM BPM excels in integrating role-based process design, and provides a social BPM experience. It enables asset sharing and creating versions through its Process Center. The Process Center acts as a unified repository, making it possible to manage changes to the business processes with confidence. IBM BPM supports a wide range of standards for process modeling and exchange. Built-in analytics and search capabilities help to further improve and optimize the business processes. This IBM Redbooks® publication provides valuable information for project teams and business people that are involved in projects using IBM BPM. It describes the important design decisions that you face as a team. These decisions invariably have an effect on the success of your project. These decisions range from the more business-centric decisions, such as which should be your first process, to the more technical decisions, such as solution analysis and architectural considerations. |
| gartner active metadata management: The DAMA Dictionary of Data Management Dama International, 2011 A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development |
| gartner active metadata management: Data Warehousing Fundamentals Paulraj Ponniah, 2004-04-07 Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants. |
| gartner active metadata management: Big Data in Organizations and the Role of Human Resource Management Tobias M. Scholz, 2017 Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data. |
| gartner active metadata management: The Lean Approach to Digital Transformation Yves Caseau, 2022-05-01 The Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly customer-centric, from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. Developing an information system (IS) that is the backbone of the digital transformation – called “exponential information system” to designate an open IS (in particular on its borders), capable of interfacing and combining with external services, positioned as a player in software ecosystems and built for processing scalable and dynamic data flows. The exponential information system is constantly changing and it continuously absorbs the best of information processing technology, such as Artificial Intelligence and Machine Learning. 3. Building software “micro-factories” that produce service platforms, which are called “Lean software factories.” This “software factory” concept covers the integration of agile methods, tooling and continuous integration and deployment practices, a customer-oriented product approach, and a platform approach based on modularity, as well as API-based architecture and openness to external stakeholders. This software micro-factory is the foundation that continuously produces and provides constantly evolving services. These three capabilities are not unique or specific to this book, they are linked to other concepts such as agile methods, product development according to lean principles, software production approaches such as CICD (continuous integration and deployment) or DevOps. This book weaves a common frame of reference for all these approaches to derive more value from the digital transformation and to facilitate its implementation. The title of the book refers to the “lean approach to digital transformation” because the two underlying frameworks, Lean Startup and Lean Software Factory, are directly inspired by Lean, in the sense of the Toyota Way. The Lean approach is present from the beginning to the end of this book -- it provides the framework for customer orientation and the love of a job well done, which are the conditions for the success of a digital transformation. |
| gartner active metadata management: Metadata for Information Management and Retrieval David Haynes, 2004 What is metadata and what do I need to know about it? These are two key questions for the information professional operating in the digital age as more and more information resources are available in electronic format. This is a thought-provoking introduction to metadata written by one of its leading advocates. It assesses the current theory and practice of metadata and examines key developments - including global initiatives and multilingual issues - in terms of both policy and technology. Subjects discussed include: What is metadata? definitions and concepts Retrieval environments: web; library catalogues; documents and records management; GIS; e-Learning Using metadata to enhance retrieval: pointing to content; subject retrieval; language control and indexing Information management issues: interoperability; information security; authority control; authentication and legal admissibility of evidence; records management and document lifecyc≤ preservation issues Application of metadata to information management: document and records management; content management systems for the internet Managing metadata: how to develop a schema Standards development: Dublin Core; UK Government metadata standards (eGIF); IFLA FRBR Model for cataloguing resources Looking forward: the semantic web; the Web Ontology Working Group. Readership: This book will be essential reading for network-oriented librarians and information workers in all sectors and for LIS students. In addition, it will provide useful background reading for computer staff supporting information services. Publishers, policy makers and practitioners in other curatorial traditions such as museums work or archiving will also find much of relevance. |
| gartner active metadata management: Knowledge Science, Engineering and Management Jâerãome Lang, Fangzhen Lin, Ju Wang, 2006-07-26 This book constitutes the refereed proceedings of the First International Conference on Knowledge Science, Engineering and Management, KSEM 2006, held in Guilin, China in August 2006 in conjunction with PRICAI 2006. The 51 revised full papers and 57 revised short papers presented together with 4 invited talks were carefully reviewed and selected from 450 submissions. The papers provide a wealth of new ideas and report current research results in the broad areas of knowledge science, knowledge engineering, and knowledge management |
| gartner active metadata management: Effective Strategy Execution Bernd Heesen, 2015-09-04 This book demonstrates how an improved strategic management approach, leveraging established management concepts in conjunction with the innovative technology solutions offered by business intelligence, can lead to better performance. It presents the three main barriers to effective strategy execution and explains how they can be overcome. Creating a shared understanding of the strategy at all levels of the organization using a Value ScorecardTM and following the Strategic Alignment ProcessTM allow organizations to measure and monitor performance. Strategic Alignment Remote ControlTM is presented as the ultimate tool for managers to remain in control of their business. Seven case studies from different industries across the globe provide examples of how the organizational performance can be improved. They include companies like Daimler, Tetra-Pak, Würth, Germany's Federal Employment Agency, the city of Aix-Les-Bains, and Giesecke & Devrient. Additional examples from organizations like Disney, Marriott, Volkswagen, Avis, FedEx, and Harrahs help to demonstrate how applying the concepts introduced adds unique value. The second edition of this book has been updated and improved. Additionally it includes a separate section on decision-making under uncertainty and the results of a survey on the adoption of business intelligence. |
| gartner active metadata management: Explorando a Inteligência Artificial Cláudia Sofia Oliveira Macedo Meirinhos, Manuel Meirinhos, Rui Pedro Lopes, 2023-12-15 A Inteligência Artificial (IA) é uma temática emergente na sociedade atual. É um campo em permanente evolução, ao mesmo tempo fascinante e inquietante, na medida em que a sua evolução é geradora de futuro. A Educação de hoje requer o desenvolvimento de competências, relacionadas com a IA, desde a escolaridade básica. Preparar os alunos para viver num mundo incerto, implica repensar o modelo de escola e uma aposta na inovação das práticas pedagógicas. |
Gartner是一个什么样的机构？ - 知乎
Gartner（高德纳）成立于1979年，是全球最具权威的IT研究公司，其名头在顾问研究领域，可以说是无人不知无人不晓，在鼓公司拥有 1,200多位世界级分析专家。在全球的IT …
Gartner魔力象限为什么会受到重视？ - 知乎
Gartner由Gartner研究与咨询服务、Gartner顾问、Gartner评测、Gartner社区四部分组成，在此我们不做过多阐述。 二维模型阐释公司实力四个象限评判企业差异 最 …
如何获取Gartner报告，付费账号怎么申请，年费多少？ - 知乎
其实也能找到一些渠道可以低价获取报告，之前试过以几百块的价格买过Gartner报告（比如技术成熟度曲线等），亲测过，如果需要可以私信我，我有空的情况下尽量传授经验。
普及一下什么是大数据技术？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭 …
IDC研究方向，报告与Gartner 的主要区别是什么？ - 知乎
Gartner数据这块比较弱，分析师团队基本都Base在北美，没有数据相关的常规报告，中国分析师团队规模较小，常规报告都是全球的，基本不划分区域，不接地气。但是技术 …
Gartner是一个什么样的机构？ - 知乎
Gartner（高德纳）成立于1979年，是全球最具权威的IT研究公司，其名头在顾问研究领域，可以说是无人不知无人不晓，在鼓公司拥有 1,200多位世界级分析专家。在全球的IT产业中，Gartner …
Gartner魔力象限为什么会受到重视？ - 知乎
Gartner由Gartner研究与咨询服务、Gartner顾问、Gartner评测、Gartner社区四部分组成，在此我们不做过多阐述。 二维模型阐释公司实力四个象限评判企业差异 最为大家熟知的“Gartner魔 …
如何获取Gartner报告，付费账号怎么申请，年费多少？ - 知乎
其实也能找到一些渠道可以低价获取报告，之前试过以几百块的价格买过Gartner报告（比如技术成熟度曲线等），亲测过，如果需要可以私信我，我有空的情况下尽量传授经验。
普及一下什么是大数据技术？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
IDC研究方向，报告与Gartner 的主要区别是什么？ - 知乎
Gartner数据这块比较弱，分析师团队基本都Base在北美，没有数据相关的常规报告，中国分析师团队规模较小，常规报告都是全球的，基本不划分区域，不接地气。但是技术趋势分析和厂商 …
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
如何评价Gartner 刚发布的2020年 《NDR（网络威胁检测及响 …
问题一、Gartner为什么把原来的《NTA全球市场指南》调整成了《NDR全球市场指南》？ NDR可以看作是NTA的进化版，都属于流量威胁检测设备。 Gartner把原来的NTA调整成NDR的原 …
EDR（终端检测与响应）和传统杀毒软件有什么区别？ - 知乎
EDR，是端点检测与响应(Endpoint Detection & Response，EDR)的缩写，Gartner 于 2013 年定义了这一术语，被认为是一种面向未来的终端解决方案，以端点为基础，结合终端安全大数据 …
如何获得Gartner、iSuppli、IDC之类的原报告？ - 知乎
我有过两种免费获得Gartner报告的经历： 1. 用大学邮箱注册，@unimelb.edu.au 我们学校有部分订阅。（母校威武）你们可以用所在组织邮箱注册一下，说不定订阅了。 2. 去领导者象限的 …
什么是BI，当前国内外BI的现状，BI的应用状况？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
