Название: Windows Internals, Part 1-2, 7th Edition
Автор: Andrea Allievi, Alex Ionescu, Mark E. Russinovich, David A. Solomon
Издательство: Microsoft Press, Pearson
Год: 2017-2022
Формат: True PDF, ePUB
Страниц: 800+400
Размер: 58,2 Mb, 10 Mb
Язык: English

The definitive guide to modern Windows internals: new coverage of virtualization, file systems, boot, security, and more.
For advanced computing professionals, this is the definitive up-to-date guide to how Windows core components behave “under the hood.” Using it, experienced developers can build more powerful and scalable software, administrators can debug complex system and performance problems, and security researchers can harden their systems.

Название: Hands-On Microsoft Windows Server 2019, 3rd Edition
Автор: Jason W. Eckert
Издательство: Cengage Learning, Inc.
Год: 2021
Формат: PDF
Страниц: 914
Размер: 40,4 Mb
Язык: English

Eckert's HANDS-ON MICROSOFT WINDOWS SERVER 2019 equips you with a solid foundation in basic server administration – no prior experience required. It empowers you with the knowledge to manage servers on small to large networks and maximize Windows Server 2019 administration. Using a logical topic flow and step-by-step exercises, it delivers thorough coverage of core Windows Server 2019 features. You will learn how to deploy Windows Server 2019 in a variety of different environments – including those that rely on virtualization and containers – and how to configure and manage server storage, troubleshoot performance issues and work with common Windows Server technologies and network services, such as Active Directory, DNS, DHCP, IPAM, file sharing, printing and remote access. Numerous hands-on projects and MindTap activities enable you to put what you learn into real-world practice.

Название: Big Data Analytics and Intelligent Techniques for Smart Cities
Автор: Kolla Bhanu Prakash, Janmenjoy Nayak, B. T. P. Madhav, Sanjeevikumar Padmanaban, and Valentina Emilia Balas
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 297
Размер: 15,8 Mb
Язык: English


Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume.
This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection.

Название: Info We Trust: How to Inspire the World with Data
Автор: RJ Andrews
Издательство: Wiley
Год: 2019
Формат: PDF
Размер: 84 Мб
Язык: английский / English

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity?

Название: The Language of SQL, 3rd Edition (Rough Cuts)
Автор: Larry Rockoff
Издательство: Pearson
Год: 2021
Формат: ePUB
Страниц: 171
Размер: 10 Mb
Язык: English

The Language of SQL, Second Edition
Many SQL texts attempt to serve as an encyclopedic reference on SQL syntax – an approach that is often counterproductive, because that information is readily available in online references published by the major database vendors.
For SQL beginners, it’s more important for a book to focus on general concepts and to offer clear explanations and examples of what various SQL statements can accomplish.

Название: Handbook of Big Data Analytics : Applications in ICT, Security and Business Analytics, Volume 2
Автор: Vadlamani Ravi, Aswani Kumar Cherukuri
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 14.2 MB

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. The second volume is dedicated to a wide range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), Internet of Things (IoTs), behaviour analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual sentiment analysis, wavelet Neural Network via GPU, stock market movement predictions, and financial reporting.

Название: Handbook of Big Data Analytics : Methodologies, Volume 1
Автор: Vadlamani Ravi, Aswani Kumar Cherukuri
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 390
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

Big Data analytics is the complex process of examining Big Data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable Big Data processing and analytics in real time.

Название: Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood
Автор: Supun Kamburugamuve, Saliya Ekanayake
Издательство: Wiley
Год: 2021
Страниц: 415
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Peek “Under The Hood” of Big Data Analytics. The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of Big Data to software development for optimal performance.

Название: SQL Cookbook: Query Solutions and Techniques for All SQL Users, 2nd Edition
Автор: Anthony Molinaro and Robert de Graaf
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 572
Размер: 14 Mb, 10 Mb
Язык: English

You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in severalflavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL.

Название: Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0
Автор: Kavita Taneja, Harmunish Taneja, Kuldeep Kumar
Издательство: CRC Press
Год: 2022
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 24.6 MB

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.