Название: Linked data: Structured Data on the Web
Автор: David Wood, Marsha Zaidman
Издательство: Manning Publications
Год: 2014
Формат: PDF
Размер: 16 Мб
Язык: английский / English

The current Web is mostly a collection of linked documents useful for human consumption. The evolving Web includes data collections that may be identified and linked so that they can be consumed by automated processes. The W3C approach to this is Linked Data and it is already used by Google, Facebook, IBM, Oracle, and government agencies worldwide.

Название: Windows для профессионалов. Создание эффективных Win32-пpилoжeний с учетом специфики 64-разрядной версии Windows
Автор: Джеффри Рихтер
Издательство: Русская Редакция, Питер
Год: 2001
Формат: pdf
Страниц: 743
Размер: 12,6 Mb
Язык: Русский

Это издание - практически новая книга, посвященная программированию серьезных приложений на Microsoft Visual C++ в операционных системах Windows 2000 (32- и 64-разрядных версиях) и Windows 98 с использованием функций Windows API. Состоит из 27 глав, двухприложений и предметного указателя. Гораздо глубже, чем в предыдущих изданиях, рассматриваются такие темы, как взаимодействие с операционной системой, библиотеки C/C++, программирование DLL и оптимизация кода, описываются новые механизмы и функции, появившиеся в Windows 2000, и приводится информация, специфическая для 64-разрядной Windows 2000.

Название: Practical Free Alternatives to Commercial Software
Автор: Steve Oualline, Grace Oualline
Издательство: Apress
ISBN: 1484230744
Год: 2018
Страниц: 429
Язык: английский
Формат: pdf (true), epub
Размер: 91.3 MB

Get all the things done you're used to doing with pricey software at a fraction of the cost. There are hundreds of free programs out there that work just as well as the commercial programs people pay hundreds of dollars for. This book tells you how to find and use the most popular and useful of these.
The Open Source mo vement is a system where programmers can share code and collectively improve programs. As a result they can produce programs that are just as good, if not better than their commercial alternatives. For example, LibreOffice comes with a database, Microsoft Office does not.

Название: Practical LPIC-3 300: Prepare for the Highest Level Professional Linux Certification
Автор: Antonio Vazquez
Издательство: Apress
Год: 2019
Страниц: 730
Язык: английский
Формат: pdf (true), epub
Размер: 24.5 MB

Gain the essential skills and hands-on expertise required to pass the LPIC-3 300 certification exam. This book provides the insight for you to confidently install, manage and troubleshoot OpenLDAP, Samba, and FreeIPA. Helping you to get started from scratch, this guide is divided into three comprehensive sections covering everything you'll need to prepare for the exam. Part 1 focuses on OpenLDAP and topics including securing the directory, integration with PAM and replication. Part 2 covers Samba and teaches you about Samba architecture, using different back ends, print services, and deploying Samba as a stand-alone server, PDC, and Active Directory Domain Controller. Finally, Part 3 explains how to manage FreeIPA and how to integrate it with Active Directory. Practical LPIC-3 300 is the perfect study guide for anyone interested in the LPIC-3 300 certification exam, OpenLDAP, Samba, or FreeIPA.

Название: Big Data Analytics for Entrepreneurial Success (Advances in Business Information Systems and Analytics (ABISA))
Автор: Soraya Sedkaoui
Издательство: IGI Global
Год: 2018
Формат: true pdf/rtf
Страниц: 322
Размер: 15.7 Mb
Язык: English

In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for todays organizations and entrepreneurs to implement a robust data strategy and industrialize a set of data-driven solutions to utilize big data analytics to its fullest potential.

Название: Applied Data Science: Lessons Learned for the Data-Driven Business
Автор: Martin Braschler, Thilo Stadelmann, Kurt Stockinger
Издательство: Springer
Год: 2019
Страниц: 464
Язык: английский
Формат: pdf (true)
Размер: 15.9 MB

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other.

Название: Database Systems: Design, Implementation, & Management, 13th Edition
Автор: Carlos Coronel, Steven Morris
Издательство: Cengage Learning
Год: 2018
Страниц: 837
Язык: английский
Формат: pdf (true)
Размер: 45,0 MB

Database skills are among the most in-demand IT skills today. Now you can gain a solid foundation in database design and implementation with the practical, easy-to-understand approach in the market-leading DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, AND MANAGEMENT, 13E. Diagrams, illustrations, and tables clarify in-depth coverage of database design. You learn the key to successful database implementation as you study how to properly design databases to fit within the larger strategic data environment. Clear, straightforward writing supports an outstanding balance of theory and practice with hands-on skills today's employers want. Revised SQL coverage offers more SQL examples and simpler explanations that focus on the areas most important for a database career. More coverage of Big Data Analytics and NoSQL, including related Hadoop technologies, now provides a stronger hands-on approach.

Название: Multivariate Data Analysis: Using SPSS and AMOS
Автор: R. Shanthi
Издательство: MJP Publishers
Год: 2019
Формат: PDF
Размер: 35 Мб
Язык: английский / English

Multivariate Data Analysis Introduction to SPSS Outliers Normality Test of Linearity Data Transformation Bootstrapping Homoscedasticity Introduction to IBM SPSS – AMOS Multivariate Analysis of Variance (MANOVA) One Way Manova in SPSS Multiple Regression Analysis Binary Logistic Regression Factor Analysis Exploratory Factor Analysis Confirmatory Factor Analysis Cluster Analysis K - Mean Cluster Analysis Hierarchical Cluster Analysis Discriminant Analysis Correspondence Analysis Multidimensional Scaling Example - Multidimensional Scaling (ALSCAL) Neural Network Decision Trees Path Analysis Structural Equation Modeling Canonical Correlation

Название: Implementing iOS and macOS Documents with the Files App: Managing Files and Ensuring Compatibility
Автор: Jesse Feiler
Издательство: Apress
Год: 2019
Формат: true pdf/epub
Страниц: 156
Размер: 11.2 Mb
Язык: English

Rise above the basics of Xcode app development to implement tools like Share buttons and activity view controllers to share document content including parts of documents with other users and with other devices. This book fills the gap so that developers with even a fundamental knowledge of iOS and Swift can implement document creation, saving, and sharing in their apps.

Название: Big Data in Engineering Applications
Автор: Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo,? Stavros Ntalampiras
Издательство: Springer
Серия: Studies in Big Data (Book 44)
ISBN: 9811084750
Год: 2018
Страниц: 381
Язык: английский
Формат: pdf (true), epub
Размер: 16.1 MB

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.