Описание: Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration.
Автор: Joaquin Garcia-Alfaro; Guillermo Navarro-Arribas; Название: Data Privacy Management, Cryptocurrencies and Blockchain Technology ISBN: 3319678159 ISBN-13(EAN): 9783319678153 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Proof Calculus for Attack Trees in Isabelle.- Confidentiality of Interactions in Concurrent Object-Oriented Systems.- Using Oblivious RAM in Genomic Studies.- Towards Efficient and Secure Encrypted Databases: Extending.- Message-Locked Encryption in Three-Party Model.- Searchable Encrypted Relational Databases: Risks and Countermeasures.- Private verification of access on medical data: an initial study.- Default Privacy Setting Prediction by Grouping User's Attributes and Settings Preferences.- Bounding Privacy Leaks in Privacy Preserving Data Mining.- Threshold Single Password Authentication.- Towards A Toolkit for Utility and Privacy-Preserving Transformation of Semi-structured Data Using Data Pseudonymization.- Enforcement of External Anonymization.- DLoc: Distributed Auditing for Data Location Compliance in Cloud.- Inonymous: Anonymous Invitation-Based System.- Order-Preserving Encryption Using Approximate Integer Common Divisors.- Privacy-Preserving Deterministic Automata Evaluation with Encrypted Data Blocks.- Securing Proof-of-Stake Blockchain Protocols.- Merged Mining: Curse or Cure?.- Atomically Trading with Roger: Gambling on the success of a hardfork.- Smart Contracts and Blockchain Identity.- In Code We Trust? Measuring the Control Flow Immutability of All.- Smart Contracts Deployed on Ethereum.- Who Am I? Secure Identity Registration on Distributed Ledgers.- User-centric System for Verified Identities on the Bitcoin Blockchain.- Towards a Concurrent and Distributed Route Selection for Payment Channel Networks.- Graphene: A New Protocol for Block Propagation Using Set Reconciliation.- Revisiting Difficulty Control for Blockchain Systems.- Secure Event Tickets on a Blockchain.
Название: Applied big data analytics in operations management / ISBN: 1522508864 ISBN-13(EAN): 9781522508861 Издательство: Turpin Рейтинг: Цена: 23654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management.Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
Автор: Willem Jonker; Milan Petkovi? Название: Secure Data Management ISBN: 3319068105 ISBN-13(EAN): 9783319068107 Издательство: Springer Рейтинг: Цена: 7406.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 10th VLDB Workshop on Secure Data Management held in Trento, Italy, on August 30, 2013. The papers are organized in technical papers and 10 vision papers which address key challenges in secure data management and indicate interesting research questions.
Автор: Wolfgang Behme; Harry Mucksch Название: Data Warehouse-gest?tzte Anwendungen ISBN: 3409116591 ISBN-13(EAN): 9783409116596 Издательство: Springer Рейтинг: Цена: 5877.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In Ergдnzung zu ihrem bereits in der 4. Auflage erscheinenden Buch zum Data Warehouse-Konzept widmen sich die Autoren hier ganz der Beschreibung verschiedener Anwendungsmцglichkeiten. Der Nutzen eines Data Warehouses entsteht nicht in erster Linie durch die Speicherung, sondern vielmehr erst durch die zielgerichtete Aufarbeitung und Analyse der Informationen. Dieses fьhrt zu einer Fьlle von Einsatzmцglichkeiten (wie z.B. Balanced Scorecards oder Data Mining-Auswertungen zur Vorhersage von Gasverbrдuchen), die fьr Unternehmen gewinnbringend genutzt werden kцnnen.
Автор: Joaquin Garcia-Alfaro; Georgios Lioudakis; Nora Cu Название: Data Privacy Management and Autonomous Spontaneous Security ISBN: 364254567X ISBN-13(EAN): 9783642545672 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the revised selected papers of the 8th International Workshop on Data Privacy Management, DPM 2013, and the 6th International Workshop on Autonomous and Spontaneous Security, SETOP 2013, held in Egham, UK, in September 2013 and co-located with the 18th European Symposium on Research in Computer Security (ESORICS 2013).
Описание: Data privacy management.- Autonomous and spontaneous security.- Quantitative aspects in security assurance.
Автор: Furber, Christian Название: Data quality management with semantic technologies ISBN: 3658122242 ISBN-13(EAN): 9783658122249 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on a literature analysis of typical data quality problems and typical activities of data quality management processes, he develops the Semantic Data Quality Management framework as the major contribution of this thesis.
Автор: Joaquin Garcia-Alfaro; Guillermo Navarro-Arribas; Название: Data Privacy Management, and Security Assurance ISBN: 3319298828 ISBN-13(EAN): 9783319298825 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantitative Aspects of Security Assurance.- Reputation, Monetization and Data Privacy Management.- Biometrics and Privacy Preservation.- Position Papers.- Short Papers.
Автор: Hasso Plattner; Alexander Zeier Название: In-Memory Data Management ISBN: 3662520494 ISBN-13(EAN): 9783662520499 Издательство: Springer Рейтинг: Цена: 7406.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines for the first time, the ways that in-memory computing is changing the way businesses are run. The authors describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business.
Автор: Insurance Data Management Association (idma) Название: Introduction to data management functions and tools ISBN: 1634622499 ISBN-13(EAN): 9781634622493 Издательство: Gazelle Book Services Рейтинг: Цена: 17587.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This study guide is for the IDMA 201 course in the IDMA Associate Insurance Data Manager (AIDM) designation program. This course defines data management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools used by data managers. Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge of data management can help you do your job better and help you prepare, understand, and protect the raw material-the data-so critical to your organisation. IDMA courses, workshops, and forums are highly recommended for a broad audience including new hires, IT and data modeling professionals who want to broaden their knowledge of the business side of insurance data management, anyone who manages and governs data in the industry (statistical, or management information data), and anyone who needs to use or communicate good quality data/information -- from actuaries to underwriters, and claims and analytics professionals. Students who complete the four IDMA-developed courses and successfully pass the examinations are awarded an Associate Insurance Data Manager (AIDM) designation. The IDMA courses may be taken in any order; there are no prerequisites. However, the courses are numbered to indicate a recommended sequence. For details on the designation requirements, please refer to the IDMA Website at www.IDMA.org.
Автор: Insurance Data Management Association (idma) Название: Introduction to data management functions & tools ISBN: 1634622421 ISBN-13(EAN): 9781634622424 Издательство: Gazelle Book Services Рейтинг: Цена: 31744.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook is for the IDMA 201 course in the IDMA Associate Insurance Data Manager (AIDM) designation program. This course defines data management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools used by data managers. Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge of data management can help you do your job better and help you prepare, understand, and protect the raw material -- the data -- so critical to your organisation. IDMA courses, workshops, and forums are highly recommended for a broad audience including new hires, IT and data modeling professionals who want to broaden their knowledge of the business side of insurance data management, anyone who manages and governs data in the industry (statistical, or management information data), and anyone who needs to use or communicate good quality data/information -- from actuaries to underwriters, and claims and analytics professionals. Students who complete the four IDMA-developed courses and successfully pass the examinations are awarded an Associate Insurance Data Manager (AIDM) designation. The IDMA courses may be taken in any order; there are no prerequisites. However, the courses are numbered to indicate a recommended sequence. For details on the designation requirements, please refer to the IDMA Website at www.IDMA.org.
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