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| gartner magic quadrant for metadata management solutions: T-Byte Platforms & Applications V-Gupta, 2019-11-27 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. |
| gartner magic quadrant for metadata management solutions: Metadata and Semantic Research Emmanouel Garoufallou, Andreas Vlachidis, 2023-08-09 This book constitutes the refereed post proceedings of the 16th Research Conference on Metadata and Semantic Research, MTSR 2022, held in London, UK, during November 7–11, 2022. The 21 full papers and 4 short papers included in this book were carefully reviewed andselected from 79 submissions. They were organized in topical sections as follows: metadata, linked data, semantics and ontologies - general session, and track on Knowledge IT Artifacts (KITA), Track on digital humanities and digital curation, and track on cultural collections and applications, track on digital libraries, information retrieval, big, linked, social & open data, and metadata, linked data, semantics and ontologies - general session, track on agriculture, food & environment, and metadata, linked Data, semantics and ontologies - general, track on open repositories, research information systems & data infrastructures, and metadata, linked data, semantics and ontologies - general, metadata, linked data, semantics and ontologies - general session, and track on european and national projects. |
| gartner magic quadrant for metadata management solutions: Modern Data Strategy Mike Fleckenstein, Lorraine Fellows, 2018-02-12 This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management. |
| gartner magic quadrant for metadata management solutions: T Bytes Digital Customer Experience IT Shades.com, 2020-12-02 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Experience Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| gartner magic quadrant for metadata management solutions: T-Byte Digital Customer Experience V Gupta, 2020-01-01 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| gartner magic quadrant for metadata management solutions: Data Governance Dimitrios Sargiotis, |
| gartner magic quadrant for metadata management solutions: T-Bytes IoT & AR Industry V Gupta, 2019-12-28 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| gartner magic quadrant for metadata management solutions: T-Bytes Digital Customer Experience V Gupta, 2020-01-02 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| gartner magic quadrant for metadata management solutions: Database and Expert Systems Applications - DEXA 2022 Workshops Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martinez-Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech, 2022-08-15 This volume constitutes the refereed proceedings of the workshops held at the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna, Austria, in August 2022: The 6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2022); 4th International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2022); 2nd International Workshop on Time Ordered Data (ProTime2022); 2nd International Workshop on AI System Engineering: Math, Modelling and Software (AISys2022); 1st International Workshop on Distributed Ledgers and Related Technologies (DLRT2022); 1st International Workshop on Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science (ARTE2022). The 40 papers were thoroughly reviewed and selected from 62 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence. |
| gartner magic quadrant for metadata management solutions: T-bytes Digital Customer Experience IT-Shades, 2020-03-03 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Experience Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| gartner magic quadrant for metadata management solutions: Business Intelligence in the Digital Economy Mahesh S. Raisinghani, 2004-01-01 Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks. |
| gartner magic quadrant for metadata management solutions: Um caso prático de arquitectura de software para gestão de metadados no contexto da Inteligência de Negócio Carlos Lázaro, A Inteligência de Negócio tem proporcionado às organizações um melhor conhecimento sobre si mesmas. A evolução do ambiente de DW/BI, através de entregas sucessivas de aplicações destinadas a ajudar a tomada de decisão faz surgir a necessidade recorrente de entender os dados, os fluxos e os responsáveis envolvidos, desde a sua origem nos sistemas transaccionais até aos relatórios finais. Muita da informação que se gera quando se criam essas aplicações não está acessível ou encontra-se fragmentada, prejudicando o tempo de acção dos envolvidos, como os analistas que precisam de entender os dados que vêem ou os técnicos que desenvolvem os processos de integração de dados. O problema tratado nesta investigação é o seguinte: as pessoas necessitam de informação que identifique, localize e descreva os dados que lhes permita agir rapidamente num contexto em constante evolução. As questões da investigação são: Qual é a necessidade dos metadados? Que metadados são necessários? De que forma se pode implementar e que benefícios podem ser obtidos? Esta investigação tentou perceber as tarefas e interesses dos utilizadores que interagem num ambiente que consome informação por excelência que poderiam ser beneficiados com a existência de um repositório de metadata. Identificou-se e dá-se conta de alguns problemas que obstaculizam a colaboração mais fluida entre as equipas. Demonstra-se uma possível abordagem para a implementação de uma arquitectura de metadados, com a descrição de um conjunto de preocupações arquitecturais associadas ao desenvolvimento de uma solução informática que permita aos utilizadores serem mais eficientes no desempenho das suas tarefas. Os resultados da investigação podem ser interessantes para todos aqueles que se interessam pela Inteligência de Negócio e metadados em geral, na medida em que descreve um caso prático de implementação de um repositório. |
| gartner magic quadrant for metadata management solutions: , |
| gartner magic quadrant for metadata management solutions: Proceedings of IAC 2019 in Vienna Group of Authors, 2019-07-04 Scientific articles form: International Academic Conference on Teaching, Learning and E-learning International Academic Conference on Management, Economics and Marketing International Academic Conference on Engineering, Transport, IT and AI |
| gartner magic quadrant for metadata management solutions: 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 magic quadrant for metadata management solutions: Manager’s Guide to SharePoint Server 2016 Heiko Angermann, 2017-12-14 Close the gap between introductory and advanced resources available on SharePoint 2016 with this guide and identify the core benefits of specific techniques in a real-world context, including best practice scenarios. You will find this book to be a comprehensive collection of tutorials and solutions for all of the most widely used techniques (e.g., intranet, Internet, formal metadata management, informal metadata management, document management, social media, project management). To overcome the high volume, velocity, and variety of data, content management systems usually focus on different sub-tasks, namely document management, web content management, digital asset management, and enterprise records management. As a leading enterprise CMS and all-around solution, SharePoint Server handles all of these sub-tasks using one system; however, the opportunities and limits of SharePoint are often unknown at the management level. Many managers who decide to use SharePoint do not know how SharePoint can concretely help to improve their business and day-to-day operations. They are often overwhelmed with its functionalities. In addition, daily users are often overwhelmed with the complexity and extensive features and possibilities of the system. Both SharePoint administrators and users need a clear explanation of when SharePoint can be used, where it can help, and how to use it. Manager’s Guide to SharePoint Server 2016 is that solution. The book provides coverage of: SharePoint technology, including the core technologies of SharePoint and the MySite technology, as well as SharePoint administration levels Template technology, including the most widely used collaboration, enterprise, and publishing site templates Hands-on tutorials and solutions for users and administrators, including use cases in a real-world context Best practice scenarios of SharePoint governance, template usage, and additional tools to improve SharePoint What You’ll Learn Discern how and where SharePoint can help improve a company’s success Understand the core elements of SharePoint for customization and how to improve the site’s functionalities Know how SharePoint can be used as a collaboration and management platform Discover what to do within SharePoint and how to more effectively manage SharePoint in daily business across teams Who This Book Is For Content managers, systems managers, and software engineering professionals. SharePoint managers, end users, and site administrators will also find this book useful. |
| gartner magic quadrant for metadata management solutions: Common Warehouse Metamodel John Poole, Dan Chang, Douglas Tolbert, David Mellor, 2002-04-22 Das Common-Warehouse-Metamodell (CWM) ist eine XML-basierte Technologie zum Datenaustausch aus Quellen jeder Art, unabhängig von der Plattform des Anbieters. Geschrieben von den Autoren der CWM-Spezifikation, bietet Ihnen dieses Buch eine gut verständliche Einführung in das Thema. Erklärt wird, wie Geschäftsbereiche mit Hilfe von CWM effizienter arbeiten können und mit welchen praktischen Schritten man CWM plant, implementiert und einführt. Sie erhalten einen Überblick über die Architektur von CWM und sehen, wie die einzelnen Komponenten in existierende Datenbanken und Data-Warehouse-Architekturen integriert werden können. Mit zugehöriger Website. |
| gartner magic quadrant for metadata management solutions: International Journal of Micrographics & Optical Technology , 2003 |
| gartner magic quadrant for metadata management solutions: CASP+ CompTIA Advanced Security Practitioner Study Guide Nadean H. Tanner, Jeff T. Parker, 2022-09-15 Prepare to succeed in your new cybersecurity career with the challenging and sought-after CASP+ credential In the newly updated Fourth Edition of CASP+ CompTIA Advanced Security Practitioner Study Guide Exam CAS-004, risk management and compliance expert Jeff Parker walks you through critical security topics and hands-on labs designed to prepare you for the new CompTIA Advanced Security Professional exam and a career in cybersecurity implementation. Content and chapter structure of this Fourth edition was developed and restructured to represent the CAS-004 Exam Objectives. From operations and architecture concepts, techniques and requirements to risk analysis, mobile and small-form factor device security, secure cloud integration, and cryptography, you’ll learn the cybersecurity technical skills you’ll need to succeed on the new CAS-004 exam, impress interviewers during your job search, and excel in your new career in cybersecurity implementation. This comprehensive book offers: Efficient preparation for a challenging and rewarding career in implementing specific solutions within cybersecurity policies and frameworks A robust grounding in the technical skills you’ll need to impress during cybersecurity interviews Content delivered through scenarios, a strong focus of the CAS-004 Exam Access to an interactive online test bank and study tools, including bonus practice exam questions, electronic flashcards, and a searchable glossary of key terms Perfect for anyone preparing for the CASP+ (CAS-004) exam and a new career in cybersecurity, CASP+ CompTIA Advanced Security Practitioner Study Guide Exam CAS-004 is also an ideal resource for current IT professionals wanting to promote their cybersecurity skills or prepare for a career transition into enterprise cybersecurity. |
| gartner magic quadrant for metadata management solutions: SAP HANA 2.0 Denys Van Kempen, 2019 Enter the fast-paced world of SAP HANA 2.0 with this introductory guide. Begin with an exploration of the technological backbone of SAP HANA as a database and platform. Then, step into key SAP HANA user roles and discover core capabilities for administration, application development, advanced analytics, security, data integration, and more. No matter how SAP HANA 2.0 fits into your business, this book is your starting point. In this book, you'll learn about: a. Technology Discover what makes an in-memory database platform. Learn about SAP HANA's journey from version 1.0 to 2.0, take a tour of your technology options, and walk through deployment scenarios and implementation requirements. b. Tools Unpack your SAP HANA toolkit. See essential tools in action, from SAP HANA cockpit and SAP HANA studio, to the SAP HANA Predictive Analytics Library and SAP HANA smart data integration. c. Key Roles Understand how to use SAP HANA as a developer, administrator, data scientist, data center architect, and more. Explore key tasks like backend programming with SQLScript, security setup with roles and authorizations, data integration with the SAP HANA Data Management Suite, and more. Highlights include: 1) Architecture 2) Administration 3) Application development 4) Analytics 5) Security 6) Data integration 7) Data architecture 8) Data center |
| gartner magic quadrant for metadata management solutions: InfoWorld , 2002-04-29 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| gartner magic quadrant for metadata management solutions: Computer and Information Security Handbook John R. Vacca, 2024-08-28 Computer and Information Security Handbook, Fourth Edition, provides the most current and complete reference on computer security available on the market. The book offers deep coverage of an extremely wide range of issues in computer and cybersecurity theory, applications, and best practices, offering the latest insights into established and emerging technologies and advancements. With new parts devoted to such current topics as Cyber Security for the Smart City and Smart Homes, Cyber Security of Connected and Automated Vehicles, and Future Cyber Security Trends and Directions, the book now has 115 chapters written by leading experts in their fields, as well as 8 updated appendices and an expanded glossary. It continues its successful format of offering problem-solving techniques that use real-life case studies, checklists, hands-on exercises, question and answers, and summaries. Chapters new to this edition include such timely topics as Threat Landscape and Good Practices for Internet Infrastructure, Cyber Attacks Against the Grid Infrastructure, Threat Landscape and Good Practices for the Smart Grid Infrastructure, Energy Infrastructure Cyber Security, Smart Cities Cyber Security Concerns, Community Preparedness Action Groups for Smart City Cyber Security, Smart City Disaster Preparedness and Resilience, Cyber Security in Smart Homes, Threat Landscape and Good Practices for Smart Homes and Converged Media, Future Trends for Cyber Security for Smart Cities and Smart Homes, Cyber Attacks and Defenses on Intelligent Connected Vehicles, Cyber Security Issues in VANETs, Use of AI in Cyber Security, New Cyber Security Vulnerabilities and Trends Facing Aerospace and Defense Systems, How Aerospace and Defense Companies Will Respond to Future Cyber Security Threats, Fighting the Rising Trends of Cyber Attacks on Aviation, Future Trends for Cyber Security in the Gaming Industry, Future Trends for Cyber Attacks in the Healthcare Industry, and much more. - Written by leaders in the field - Comprehensive and up-to-date coverage of the latest security technologies, issues, and best practices - Presents methods for analysis, along with problem-solving techniques for implementing practical solutions |
| gartner magic quadrant for metadata management solutions: 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 magic quadrant for metadata management solutions: Testing the Data Warehouse Practicum Wayne Yaddow Doug Vucevic &, 2012-08 The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the software quality and the organization that produces the products is explored. Quality of data that populates the DWH is the main concern of the book, therefore we propose a definition for data quality as: fitness to serve each and every purpose. Methods are proposed throughout the book to help readers achieve data warehouse quality. |
| gartner magic quadrant for metadata management solutions: E-doc , 2007 |
| gartner magic quadrant for metadata management solutions: Informationsmanagement und Kommunikation in der Medizin Rüdiger Kramme, 2016-11-18 Die Fusion von Medizintechnik und Informationstechnologie ist Realität: KIS, Bildverarbeitung, Telemedizin, VR, Lehr- und Lernsysteme ... Dieses Buch bietet das praxisrelevante, grundlegende Wissen: Welche neuen Möglichkeiten und Systeme gibt es, wie werden sie eingesetzt, was muss bedacht und beachtet werden. · Fusion von Medizintechnik und Informationstechnologie · Kommunizierende medizinische Systeme und Netzwerke Kankenhausinformationssysteme: Ziele, Nutzen, Topologie, Auswahl · Management und Befundung radiologischer Bilder · Telemedizin am Beispiel aktiver Implantate · Medizinische Bildverarbeitung · Virtuelle Realität in der Medizin · Technologiegestütztes Lehren und Lernen in der Medizin · OP-Planung und OP-Unterstützung · Aktueller Stand und Entwicklung robotergestützter Chirurgie · Datenmanagement für Medizinproduktestudien Für alle, die Systeme und Datenmanagement im Krankenhaus und allen anderen medizinischen Strukturen und Netzwerken entwickeln, aufbauen und optimieren: Leitende Ärzte, Geschäftsführer, Medizintechniker, Gesundheitsingenieure, Krankenhausplaner, Informatiker ... |
| gartner magic quadrant for metadata management solutions: The Practitioner's Guide to Data Quality Improvement David Loshin, 2010-11-22 The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. |
| gartner magic quadrant for metadata management solutions: Knowledge Graphs and Big Data Processing Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger, 2020-07-15 This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required. |
| gartner magic quadrant for metadata management solutions: Big Data Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung, 2014-05-05 This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful. |
| gartner magic quadrant for metadata management solutions: The Object Database Standard Roderic Geoffrey Galton Cattell, Douglas K. Barry, 1997 A major revision of the standard for object database management systems (ODBMSs), this book represents an important industry consensus on component technology for database products and languages, enabling wide acceptance and adoption of object database technology. This revision adds coverage of Java bindings to the updated material on C++ and SmallTalk. |
| gartner magic quadrant for metadata management solutions: 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 magic quadrant for metadata management solutions: Practical DataOps Harvinder Atwal, 2019-12-09 Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will LearnDevelop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production. |
| gartner magic quadrant for metadata management solutions: Data Lakes Anne Laurent, Dominique Laurent, Cédrine Madera, 2020-06-03 The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management. |
| gartner magic quadrant for metadata management solutions: Policy & Practice , 2009 |
| gartner magic quadrant for metadata management solutions: Data Governance and Data Management Rupa Mahanti, 2021-09-08 This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives. |
| gartner magic quadrant for metadata management solutions: Selling and Fulfillment Solutions Using WebSphere Commerce and IBM Sterling Order Management Charlton Lee, Yumman Chan, Feras Dawisha, Sankar Kalla, Brenda Lam, Bhavin M. Majithia, Craig Oakley, Pankajkumar H. Patel, IBM Redbooks, 2011-06-03 This IBM® Redbooks® publication brings together subject matter experts with experience using the leading IBM customer interaction platform for cross-channel and online commerce, IBM WebSphere® Commerce, with the powerful IBM Sterling Order Management, which coordinates order fulfillment from all channels and across the extended enterprise. An integrated solution was built in the lab that illustrates how these products can be integrated to benefit IBM customers. This publication focuses on the integration of the IBM high-volume commerce solution designed to address enterprise commerce needs by delivering a rich, robust multi-channel customer experience, with Sterling Order Management, designed to enable supplier collaboration with management and order fulfillment process optimization. By integrating WebSphere Commerce and Sterling Order Management with out-of-the-box components, we prove that customers are provided an end-to-end solution to address a complete opportunity for a fulfillment life cycle that is cost effective and easy to implement. This publication targets a technical audience for the documentation of the integration approach by explaining the solution architecture and the implementation details. However, this publication also contains introductory chapters that contain executive summary material and provides well-documented scenarios with use cases for business analysts whose domain would be these systems. |
| gartner magic quadrant for metadata management solutions: Super Charge Your Data Warehouse Dan Linstedt, 2011-11-11 Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded Life Cycle? The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security. Here is what industry leaders say about the Data Vault The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework - Bill Inmon, The Father of Data Warehousing The Data Vault is foundationally strong and an exceptionally scalable architecture - Stephen Brobst, CTO, Teradata The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness - Doug Laney, Deloitte Analytics Institute I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and Advisor You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more. Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it. Ready to Super Charge Your Data Warehouse? |
| gartner magic quadrant for metadata management solutions: Digital and Marketing Asset Management Theresa Regli, 2016-08-02 The digital world is transitioning from text to media: photos, audio files, video clips, animations, games, and more. Enterprises of all kinds struggle with how to manage those media assets. Digital professionals who want to master the life cycles behind creating, storing, and reusing media need the inside scoop on how digital and media asset management technology really works. |
| gartner magic quadrant for metadata management solutions: Strategic Information Management Robert Galliers, Dorothy E. Leidner, 2003 The editors include a wide range of contemporary and classic articles from North America and the UK on key information systems management themes, including IT developments in business and outsourcing information systems services. |
| gartner magic quadrant for metadata management solutions: SAP Integration Suite Christopher Aron, Piyush Gakhar, Shilpa Vij, 2021 SAP's integration technologies are now combined-but what is the SAP Integration Suite, and how do you use it to manage an integrated enterprise landscape? In this book, get the answers to these questions and more as you take a tour of the new suite. Then get step-by-step instructions for using key capabilities such as pre-packaged integrations, open APIs, integration scenarios, the integration advisor, and more. Master the complete integration suite!-- |
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