Data Governance will answer these questions and provide you with insights and approaches to improve the “data fitness” of your organization. Gain control of your data and assign responsible parties to ensure the data remains well-understood and protected, by applying the content within this book’s six chapters:
· Chapter 1, Understanding Data Governance, looks at the broad definitions of data governance along with issues within data governance.
· Chapter 2, Owning Data Governance, looks at Ownership, Wider Perspectives, and Roles, and explores how transparent data governance can simplify the complexities of data ownership.
· Chapter 3, Data Confidence, explores using tools (e.g., standards, strategies, and policies) to clearly align business objectives with realistic IT deliverables and produce meaningful outcomes.
· Chapter 4, Getting Data Fit, covers the basic elements required to make data governance work for your specific organization. There are five steps required to achieve a basic level of data fitness and effective governance.
· Chapter 5, Approach and Stakeholders, covers various ways to implement data governance to ensure there are clear milestones and trigger points for key stakeholders to approve each phase. A data scorecard is introduced as a tool to help guide an organization through the data governance process.
· Chapter 6, A Case Study, concerns a fictitious company, D474, used to illustrate the various examples and scenarios for implementing data governance.
Harkish Sen has over 15 years' information technology experience within the government and private sector. Working across data, solutions architecture, and digital transformation has helped him develop the expertise to bring the best of business and technical approaches together to deliver key outcomes, in a simple and effective way. Harkish Sen lives in London, United Kingdom.
Information Theft Preventionoffers readers a comprehensive understanding of the current status of the retail sector information theft prevention models in relation to the internationally recognized benchmark of information security. It presents simple and effective management processes for ensuring better information system security, fostering a proactive approach to internal information theft prevention. Furthermore, it builds on well-defined retail business cases to identify applicable solutions for businesses today. Integrating the retail business operations and information system security practices, the book identifies ways to coordinate efforts across a business in order to achieve the best results. IT security managers and professionals, financial frauds consultants, cyber security professionals and crime prevention professionals will find this book a valuable resource for identifying and creating tools to prevent internal information theft.
This comprehensive and authoritative text/reference provides an in-depth analysis of the latest advances in privacy, security and risk technologies within cloud environments. Containing contributions from leading experts in the field, the text presents both a thorough introduction to the core issues, and a practical selection of innovative solutions to common problems. A Glossary is also included at the end of the book.
Topics and features: considers the various forensic challenges for legal access to data in a cloud computing environment; discusses privacy impact assessments for the cloud, and examines the use of cloud audits to attenuate cloud security problems; reviews conceptual issues, basic requirements and practical suggestions for provisioning dynamically configured access control services in the cloud; proposes scoped invariants as a primitive for analyzing a cloud server for its integrity properties; investigates the applicability of existing controls for mitigating information security risks to cloud computing environments; describes risk management for cloud computing from an enterprise perspective.
This pioneering volume is essential reading for business professionals, students and researchers interested in the field of privacy and security protection for the cloud, and/or complex service provisioning. Newcomers to these areas will benefit from the solid overview of the field, whereas established experts will value the novel, cutting-edge research described in the work.
This book contributes to this proposition as follows: it defines the design of transparent real-time security extensions for EPCglobal networks based on in-memory technology. For that, it defines authentication protocols for devices with low computational resources, such as passive RFID tags, and evaluates their applicability. Furthermore, it outlines all steps for implementing history-based access control for EPCglobal software components, which enables a continuous control of access based on the real-time analysis of the complete query history and a fine-grained filtering of event data. The applicability of these innovative data protection mechanisms is underlined by their exemplary integration in the FOSSTRAK architecture.
Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis–refactoring not just the code but the model underlying the code–in combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. Domain-Driven Design then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include:
With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations.
Authors Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and other organizatons—explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers.Explore the distributed system challenges that Kubernetes addressesDive into containerized application development, using containers such as DockerCreate and run containers on Kubernetes, using the docker image format and container runtimeExplore specialized objects essential for running applications in productionReliably roll out new software versions without downtime or errorsGet examples of how to develop and deploy real-world applications in Kubernetes
The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.
The companion web site, algs4.cs.princeton.edu, containsAn online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material
The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.
Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
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 practicesPrinciples—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 systemsManagement—Explore Google's best practices for training, communication, and meetings that your organization can use