Data Rules
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Data Rules
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Author : Jim Knight
language : en
Publisher: ASCD
Release Date : 2024-10-02
Data Rules written by Jim Knight and has been published by ASCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Education categories.
Data Rules provides much-needed clarity on how instructional leaders can effectively leverage data. It's no secret that using data can be a key driver of teacher growth and student achievement. The only real question is how. Coaching expert Jim Knight and professor Michael Faggella-Luby distill decades of research into an accessible, proven approach that explains - Why data is important for transforming teaching. - A framework of 10 easy-to-apply rules for effective data use. - Best practices to communicate and discuss data. - How to analyze data for student engagement and achievement. - How to analyze data for instructional practice. To help schools achieve sustained improvement, this book also connects its data rules to the Impact Cycle, Knight's field-tested model for coaching teachers based on research from the Instructional Coaching Group (ICG). Equipped with the right tools, any instructional leader or coach will be able to realize the full potential of data, move the needle on classroom instruction, and improve student outcomes. This book is a copublication of ASCD and One Fine Bird Press.
Data Rules
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Author : Cristina Alaimo
language : en
Publisher: MIT Press
Release Date : 2024-06-04
Data Rules written by Cristina Alaimo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Business & Economics categories.
A new social science framework for studying the unprecedented social and economic restructuring driven by digital data. Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the unprecedented social and economic restructuring brought about by data. Working at the intersection of information systems and organizational studies, they draw extensively on intellectual currents in sociology, semiotics, cognitive science and technology, and social theory. Making the case for turning “data-making” into an area of inquiry of its own, the authors uncover how data are deeply implicated in rewiring the institutions of the market economy. The authors associate digital data with the decentering of organizations. As they point out, centered systems make sense only when firms (and formal organizations more broadly) can keep the external world at arm’s length and maintain a relative operation independence from it. These patterns no longer hold. Data transform the production of goods and services to an endless series of exchanges and interactions that defeat the functional logics of markets and organizations. The diffusion of platforms and ecosystems is indicative of these broader transformations. Rather than viewing data as simply a force of surveillance and control, the authors place the transformative potential of data at the center of an emerging socioeconomic order that restructures society and its institutions.
Comparative Data Law
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Author : Josef Drexl
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Comparative Data Law written by Josef Drexl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Law categories.
This book contains the proceedings of the conference “Comparative Data Law”, which was held in Munich in December 2023. The increasing relevance of data is now recognized all over the world. The large number of regulatory acts and proposals in the field of data law serves as a testament to the significance of data processing for the economies of the world. The European Union’s Data Strategy, the African Union’s Data Policy Framework and the Australian Data Strategy only serve as examples within a plethora of regulatory actions. Yet, the purposeful and sensible use of data does not only play a role in economic terms, e.g. regarding the welfare or competitiveness of economies. The implications for society and the common good are at least equally relevant. For instance, data processing is an integral part of modern research methodology and can thus help to address the problems the world is facing today, such as climate change. The conference was the third and final event of the Global Data Law Conference Series. Legal scholars from all over the world met, presented and exchanged their experiences on different data-related regulatory approaches. Various instruments and approaches to the regulation of data – personal or non-personal – were discussed, without losing sight of the global effects going hand-in-hand with different kinds of regulation. In compiling the conference proceedings, this book does not only aim at providing a critical and analytical assessment of the status quo of data law in different countries today, it also aims at providing a forward-looking perspective on the pressing issues of our time, such as: How to promote sensible data sharing and purposeful data governance? Under which circumstances, if ever, do data localisation requirements make sense? How – and by whom – should international regulation be put in place? The proceedings engage in a discussion on future-oriented ideas and actions, thereby promoting a constructive and sensible approach to data law around the world.
Data Virtualization For Business Intelligence Systems
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Author : Rick van der Lans
language : en
Publisher: Elsevier
Release Date : 2012-07-25
Data Virtualization For Business Intelligence Systems written by Rick van der Lans and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-25 with Business & Economics categories.
Annotation In this book, Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects.
Big Data And Global Trade Law
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Author : Mira Burri
language : en
Publisher: Cambridge University Press
Release Date : 2021-07-29
Big Data And Global Trade Law written by Mira Burri and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-29 with Business & Economics categories.
An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.
Advances In Feature Selection For Data And Pattern Recognition
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Author : Urszula Stańczyk
language : en
Publisher: Springer
Release Date : 2017-11-16
Advances In Feature Selection For Data And Pattern Recognition written by Urszula Stańczyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-16 with Technology & Engineering categories.
This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.
The Data Model Resource Book
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Author : Len Silverston
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-21
The Data Model Resource Book written by Len Silverston and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-21 with Computers categories.
This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.
Data Warehousing And Knowledge Discovery
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Author : Torben Bach Pedersen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-18
Data Warehousing And Knowledge Discovery written by Torben Bach Pedersen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-18 with Computers categories.
This book constitutes the refereed proceedings of the 12th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2010 held in Bilbao, Spain in August/September 2010. The 26 revised full papers presented were carefully reviewed and selected from 112 submissions. The papers cover a wide range of topics within cloud intelligence, data warehousing, knowledge discovery, and applications.
Autonomous Data Security
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Author : Priyanka Neelakrishnan
language : en
Publisher: Springer Nature
Release Date : 2024-10-07
Autonomous Data Security written by Priyanka Neelakrishnan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Computers categories.
This book focuses on analyzing the foundational requirements necessary to construct an autonomous data protection solution for enterprise businesses. It navigates readers through various options and tools, outlining the advantages and disadvantages of each. Covering diverse deployment environments including cloud, on-premises, and hybrid setups, as well as different deployment scales and comprehensive channel coverages, it encourages readers to break away from conventional norms in their approach. By exploring the factors that should be taken into account, the book highlights the significant gap in existing data safeguarding solutions, which often rely solely on configured security policies. It proposes a forward-thinking security approach designed to endure over time, surpassing traditional policies and urging readers to consider proactive autonomous data security solutions. Additionally, it delves into the system's ability to adapt to deployed environments, learn from feedback, and autonomously safeguard data while adhering to security policies. More than just a set of guidelines, this book serves as a catalyst for the future of the cybersecurity industry. Its focus on autonomous data security and its relevance in the era of advancing AI make it particularly timely and essential. What You Will learn: Understand why data security is important for enterprise businesses. How data protection solutions work and how to evaluate a solution in the market. How to start thinking and evaluating requirements when building a solution for small, medium, and large enterprises. Understand the pros and cons of security policy configurations defined by administrators and why can’t they provide comprehensive protection. How to safeguard data via adaptive learning from the deployed environment – providing autonomous data security with or without policies. How to leverage AI to provide data security with comprehensive proactive protection. What factors to consider when they have to protect and safeguard data. Who this book is for: The primary audience is cybersecurity professionals, security enthusiasts, C-level executives in organizations (all verticals), and security analysts and IT administrators. Secondary audience includes professors and teachers, channel integrators, professional services, and hackers.
Big Data And Data Science
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Author : Dhaanyalakshmi Ahuja
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Big Data And Data Science written by Dhaanyalakshmi Ahuja and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
Big Data and Data Science: Analytics for the Future dives into the fundamentals of big data and data science. We explain the data science life cycle and its major components, such as statistics and visualization, using various programming languages like R. As technology evolves, the significance of data science and big data analytics continues to grow, making this field increasingly important. Our book is designed in a reader-friendly manner, targeting newcomers to data science. Concepts are presented clearly and can be easily implemented through the procedures and algorithms provided. As data collection multiplies exponentially, analytics remains an evolving field with vast career opportunities. We cater to two types of readers: those skeptical about the benefits of big data and predictive analytics, and enthusiasts keen to explore current applications of these technologies. Big data is a fantastic choice for launching a career in IT, and this book equips you with the knowledge needed to succeed. We cover a broad spectrum of topics, ensuring a strong foundation in data science and big data analytics.