Название: Trusted Data, revised and expanded edition: A New Framework for Identity and Data Sharing
Автор: Thomas Hardjono, David L. Shrier
Издательство: MIT Connection Science & Engineering
Год: 2019
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data.

Название: The LOCUS Distributed System Architecture
Автор: Edited by Gerald Popek and Bruce J. Walker
Издательство: The MIT Press
Год: 1989
Формат: PDF
Страниц: 163
Размер: 22 МБ
Язык: English

Computer systems consisting of many machines will be the norm within a few years. However, making a collection of machines appear as a single, coherent system - in which the location of files, servers, programs, or users is invisible to users who do not wish to know - is a very difficult problem. LOCUS, a distributed version of the popular operating system Unix, provides an excellent solution. It makes a collection of computers, whether they are workstations or mainframes, as easy to use as a single computer by providing a set of supports for the underlying network that is virtually invisible to users and - applications programs.

Название: Big Data Management in Sensing: Applications in AI and IoT
Автор: Renny Fernandez, Terrance Frederick Fernandez
Издательство: River Publishers
Год: 2021
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 57.5 MB

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.

Название: Access For Dummies
Автор: Laurie Ann Ulrich and Ken Cook
Издательство: For Dummies
Год: 2022
Формат: True PDF
Страниц: 435
Размер: 34,3 Mb
Язык: English

Become a database boss ―and have fun doing it―with this accessible and easy-to-follow guide to Microsoft Access
Databases hold the key to organizing and accessing all your data in one convenient place. And you don’t have to be a data science wizard to build, populate, and organize your own. With Microsoft Access For Dummies, you’ll learn to use the latest version of Microsoft’s Access software to power your database needs.

Название: Excel Formulas & Functions For Dummies, 6th Edition
Автор: Ken Bluttman
Издательство: For Dummies
Год: 2022
Формат: True PDF
Страниц: 419
Размер: 13,5 Mb
Язык: English

Unlock the power of Excel with a step-by-step roadmap to its formulas and functions
There's a Swiss Army knife in your digital toolbox that can multiply your productivity and make you the smartest guy or gal in almost any room. It's called Microsoft Excel.

Название: Excel All-in-One For Dummies
Автор: Paul McFedries and Greg Harvey
Издательство: For Dummies
Год: 2022
Формат: True PDF
Страниц: 787
Размер: 18 Mb
Язык: English

Excel-erate your productivity with the only guide you'll need to the latest versions of Microsoft Excel
Microsoft Excel offers unsurpassed functionality and accessibility for data exploration and analysis to millions of users around the world. And learning to unlock its full potential is easier than you can imagine with help from Excel All-in-One For Dummies.
Follow along with Excel expert and veteran author Paul McFedries as he walks you through every feature and technique you need to know to get the most out of this powerful software. You'll learn how to design worksheets, use formulas and functions, collaborate with colleagues and review their work, create charts and graphics, manage and analyze data, and create macros.

Название: Data Analysis for Business, Economics, and Policy
Автор: Gabor Bekes, Gabor Kezdi
Издательство: Cambridge University Press
Год: 2021
Страниц: 742
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, Machine Learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at site.

Название: Expert Oracle Database Architecture: Techniques and Solutions for High Performance and Productivity, 4th Edition
Автор: Darl Kuhn, Thomas Kyte
Издательство: Apress
Год: 2022
Страниц: 1169
Язык: английский
Формат: pdf (true), epub
Размер: 12.9 MB

Now in its fourth edition and covering Oracle Database 21c, this best-selling book continues to bring you some of the best thinking on how to apply Oracle Database to produce scalable applications that perform well and deliver correct results. Tom Kyte and Darl Kuhn share a simple philosophy: "you can treat Oracle as a black box and just stick data into it, or you can understand how it works and exploit it as a powerful computing environment." If you choose the latter, then you’ll find that there are few information management problems that you cannot solve quickly and elegantly.

Название: High Performance MySQL: Proven Strategies for Operating at Scale, 4th Edition (Third Early Release)
Автор: Silvia Botros, Jeremy Tinley
Издательство: O’Reilly Media, Inc.
Год: 2021-11-12
Страниц: 396
Язык: английский
Формат: epub
Размер: 10.1 MB

How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, and new features and tools, this revised edition helps you design a relational data platform that will scale with your business. You'll learn best practices for database security along with hard earned lessons in both performance and database stability.

Название: Mobile Data Visualization
Автор: Bongshin Lee, Raimund Dachselt, Petra Isenberg
Издательство: CRC Press
Серия: AK Peters Visualization Series
Год: 2022
Страниц: 346
Язык: английский
Формат: pdf (true)
Размер: 151.5 MB

Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters. What is required to create e­ffective visualizations for mobile devices? This book introduces key concepts of mobile data visualization and discusses opportunities and challenges from both research and practical perspectives. Today, we live in a data-driven world, where Big Data are generated and captured by computing devices and sensors on and around us. Not only experts but also lay individuals have access to large amounts of data.