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Data Consistency
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Book Synopsis Data Consistency in IMF Publications by : Mr.John Cady
Download or read book Data Consistency in IMF Publications written by Mr.John Cady and published by International Monetary Fund. This book was released on 2005-03-01 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data published in IMF country staff reports and International Financial Statistics (IFS) may differ for identical variables and, at times, users may be unaware of the reasons for these differences and lack the information needed to permit reconciliation. Such discrepancies stem principally from differences in the objectives of IMF country staff reports and their data requirements, on the one hand, and IFS, on the other. This paper presents the results of a study of the consistency of annual data on core statistical indicators required for Fund surveillance presented in the IMF's IFS and a sample of recently published Article IV consultation reports. The paper finds a significant incidence of apparent discrepancies for similarly defined variables.
Book Synopsis Site Reliability Engineering by : Niall Richard Murphy
Download or read book Site Reliability Engineering written by Niall Richard Murphy and published by "O'Reilly Media, Inc.". This book was released on 2016-03-23 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use
Author :International Monetary Fund. Secretary's Department Publisher :International Monetary Fund ISBN 13 :149834173X Total Pages :23 pages Book Rating :4.4/5 (983 download)
Book Synopsis Improving Cross-Sector Data Consistency by : International Monetary Fund. Secretary's Department
Download or read book Improving Cross-Sector Data Consistency written by International Monetary Fund. Secretary's Department and published by International Monetary Fund. This book was released on 2013-05-30 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of the paper is to inform Executive Directors of recent work undertaken by the Statistics Department (STA) to further enhance data consistency. STA works to promote high quality statistics as essential pre-requisites for the formulation of appropriate macroeconomic and financial policies. Such work supports IMF surveillance and goals that are articulated in Board papers pertaining to Data Provision to the Fund for Surveillance Purposes; the G-20/IMFC Data Gaps Initiative; and the Fund’s Data Standards Initiatives. All these initiatives are motivated by the Executive Directors’ interest in better and more consistent data. An important element of STA’s work program is the project to improve crosssector data consistency. This project has focused on an initial set of countries that reflect the diverse nature of the IMF’s membership, and on selected data series. Data inconsistencies across macroeconomic datasets (financial, government, external, and national accounts statistics) have been found to exist for most countries, regardless of their size and level of development. Such inconsistencies may arise from a variety of reasons, including methodological differences and different data vintages. The project has been favorably received by member countries and has enhanced cooperation at both the international and national levels. Indeed, because a number of agencies within a country may be involved in compiling macroeconomic statistics, the project has encouraged strengthened national inter-agency cooperation to resolve inconsistencies. In spite of ongoing efforts, many inconsistencies persist, and new inconsistencies may sometimes arise. A significant initial finding is that countries may face challenges in improving cross-sector data consistency. In particular, member country resource constraints often limit the scope of their work in the short– and medium–term. Next steps. The recent work undertaken by STA has yielded significant positive results in a relatively brief period of time. Therefore, next steps involve expanding this work to eventually cover all countries, and monitoring inconsistencies on an ongoing basis so that they are not allowed to persist without follow-up with countries.
Book Synopsis Handbook of Fiber Optic Data Communication by : Casimer DeCusatis
Download or read book Handbook of Fiber Optic Data Communication written by Casimer DeCusatis and published by Elsevier Inc. Chapters. This book was released on 2013-08-09 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: All modern data centers require some form of data backup or replication to protect the data from natural or man-made disasters and provide business continuity. Companies rely on their information systems to run daily operations. If a system becomes unavailable, company operations may be impaired or stopped completely. If critical data remains inaccessible for an extended period, the company may never recover and be forced to go out of business. It is necessary to provide a reliable infrastructure for IT operations in order to minimize any chance of disruption. In this chapter, we define the requirements for Tier 1 through Tier 4 data centers. We discuss the ACID-BASE (atomicity, consistency, isolation, durability-basically available, soft state, eventual consistency) taxonomies for data consistency, giving examples from companies such as Yahoo!, Amazon, Google, and IBM. The chapter includes a detailed discussion of the different options for IBM Geographically Dispersed Parallel Sysplex (GDPS), enterprise-class high-end business continuity, and disaster recovery solution, including the Sysplex Timer protocol, InterSystem Channel (ISC), Parallel Sysplex InfiniBand (PSIFB), and more.
Book Synopsis Building Cloud Data Platforms Solutions by : Anouar BEN ZAHRA
Download or read book Building Cloud Data Platforms Solutions written by Anouar BEN ZAHRA and published by Anouar BEN ZAHRA. This book was released on with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.
Book Synopsis Privacy and Security Policies in Big Data by : Tamane, Sharvari
Download or read book Privacy and Security Policies in Big Data written by Tamane, Sharvari and published by IGI Global. This book was released on 2017-03-03 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.
Book Synopsis Data Products and the Data Mesh by : Alberto Artasanchez
Download or read book Data Products and the Data Mesh written by Alberto Artasanchez and published by The Data Science Ninja. This book was released on with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data Products and the Data Mesh" is a comprehensive guide that explores the emerging paradigm of the data mesh and its implications for organizations navigating the data-driven landscape. This book equips readers with the knowledge and insights needed to design, build, and manage effective data products within the data mesh framework. The book starts by introducing the core concepts and principles of the data mesh, highlighting the shift from centralized data architectures to decentralized, domain-oriented approaches. It delves into the key components of the data mesh, including federated data governance, data marketplaces, data virtualization, and adaptive data products. Each chapter provides in-depth analysis, practical strategies, and real-world examples to illustrate the application of these concepts. Readers will gain a deep understanding of how the data mesh fosters a culture of data ownership, collaboration, and innovation. They will explore the role of modern data architectures, such as data marketplaces, in facilitating decentralized data sharing, access, and monetization. The book also delves into the significance of emerging technologies like blockchain, AI, and machine learning in enhancing data integrity, security, and value creation. Throughout the book, readers will discover practical insights and best practices to overcome challenges related to data governance, scalability, privacy, and compliance. They will learn how to optimize data workflows, leverage domain-driven design principles, and harness the power of data virtualization to drive meaningful insights and create impactful data products. "Data Products and the Data Mesh" is an essential resource for data professionals, architects, and leaders seeking to navigate the complex world of data products within the data mesh paradigm. It provides a comprehensive roadmap for building a scalable, decentralized, and innovative data ecosystem that empowers organizations to unlock the full potential of their data assets and drive data-driven success.
Book Synopsis Secure Data Management by : Willem Jonker
Download or read book Secure Data Management written by Willem Jonker and published by Springer Science & Business Media. This book was released on 2008-08-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fifth VLDB Workshop on Secure Data Management, SDM 2008, held in Auckland, New Zealand, on August 24, 2008, in conjunction with VLDB 2008. The 11 full papers were selected for publication in the book from 32 submissions. In addition, 3 position papers and a keynote paper are included. The papers are organized in topical sections on database security, trust management, privacy protection, and security and privacy in healthcare.
Book Synopsis AWS Certified High Availability Architect by : Cybellium
Download or read book AWS Certified High Availability Architect written by Cybellium and published by Cybellium. This book was released on with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Book Synopsis Utility-Based Learning from Data by : Craig Friedman
Download or read book Utility-Based Learning from Data written by Craig Friedman and published by CRC Press. This book was released on 2016-04-19 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used t
Book Synopsis International Symposium on Fuzzy Systems, Knowledge Discovery and Natural Computation (FSKD 2014) by : Defu Zhang, Xiamen University, China
Download or read book International Symposium on Fuzzy Systems, Knowledge Discovery and Natural Computation (FSKD 2014) written by Defu Zhang, Xiamen University, China and published by DEStech Publications, Inc. This book was released on 2014-09-02 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, communications, and more. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.
Book Synopsis Mastering Cloud Data by : Cybellium Ltd
Download or read book Mastering Cloud Data written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Download or read book Data Quality written by Rupa Mahanti and published by Quality Press. This book was released on 2019-03-18 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is not the kind of book that youll read one time and be done with. So scan it quickly the first time through to get an idea of its breadth. Then dig in on one topic of special importance to your work. Finally, use it as a reference to guide your next steps, learn details, and broaden your perspective. from the foreword by Thomas C. Redman, Ph.D., the Data Doc Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: -Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality-Butterfly effect of data quality-A detailed description of data quality dimensions and their measurement-Data quality strategy approach-Six Sigma - DMAIC approach to data quality-Data quality management techniques-Data quality in relation to data initiatives like data migration, MDM, data governance, etc.-Data quality myths, challenges, and critical success factorsStudents, academicians, professionals, and researchers can all use the content in this book to further their knowledge and get guidance on their own specific projects. It balances technical details (for example, SQL statements, relational database components, data quality dimensions measurements) and higher-level qualitative discussions (cost of data quality, data quality strategy, data quality maturity, the case made for data quality, and so on) with case studies, illustrations, and real-world examples throughout.
Author :Dr. A. Karunamurthy Publisher :Quing: International Journal of Innovative Research in Science and Engineering ISBN 13 : Total Pages :23 pages Book Rating :4./5 ( download)
Book Synopsis Cloud Database: Empowering Scalable and Flexible Data Management by : Dr. A. Karunamurthy
Download or read book Cloud Database: Empowering Scalable and Flexible Data Management written by Dr. A. Karunamurthy and published by Quing: International Journal of Innovative Research in Science and Engineering. This book was released on 2023-03-30 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper explores the concept of cloud database, which leverages the power of cloud computing to provide scalable and flexible data management solutions. It discusses the benefits, challenges, and considerations associated with adopting cloud databases, along with various architectural models and deployment options. The chapter also delves into the key features, such as elasticity, high availability, and data security, offered by cloud databases. Furthermore, it examines the role of cloud databases in modern applications, including their integration with other cloud services and their ability to support big data analytics. The chapter concludes by highlighting future trends and advancements in cloud database technologies.
Book Synopsis Large Scale and Big Data by : Sherif Sakr
Download or read book Large Scale and Big Data written by Sherif Sakr and published by CRC Press. This book was released on 2014-06-25 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing t
Book Synopsis Handbook of Research on Big Data Storage and Visualization Techniques by : Segall, Richard S.
Download or read book Handbook of Research on Big Data Storage and Visualization Techniques written by Segall, Richard S. and published by IGI Global. This book was released on 2018-01-05 with total page 1078 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
