Название: Word 2007: Популярный самоучитель
Автор: Краинский И.
Издательство: СПб.: Питер
Год: 2008
Cтраниц: 240
Формат: pdf
Размер: 12 мб
Язык: русский

Предназначен для быстрого освоения одноимённого текстового редактора. Подробное пошаговое описание операций. В данной книге доступно и полно описан Microsoft Word 2007 - самый современный и удобный текстовый редактор. Отличительной особенностью самоучителя является то, что выполнение большинства операций описывается в виде четких пошаговых инструкций. Это особенно полезно для начинающих пользователей, так как позволяет не тратить время на поиск необходимых параметров и команд. Как начинающим, так и опытным пользователям Word будет очень полезен раздел, посвященный ответам на вопросы, часто возникающие у пользователей (FAQ).

Название: Database System Concepts, Seventh Edition
Автор: Abraham Silberschatz, Henry F. Korth, S. Sudarshan
Издательство: McGraw-Hill Education
Год: 2020
Формат: PDF
Страниц: 1373
Размер: 16.54 МБ
Язык: English

Database System Concepts by Silberschatz Korth and Sudarshan is now in its 6th edition and is one of the cornerstone texts of database education. It presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible.The text is designed for a first course in databases at the junior/senior undergraduate level or the first year graduate level.

Название: Database Design, Application Development and Administration, 7th Edition
Автор: Michael V. Mannino
Издательство: Chicago Business Press
Год: 2019
Страниц: 873
Язык: английский
Формат: pdf (true)
Размер: 18.6 MB

Mannino provides a foundation to understand database technology supporting enterprise computing concerns. As a new student of database management, you first need to understand fundamental concepts of database management and the relational data model. Then you need to master skills in query formulation, database design, and database application development. This textbook provides tools to help you understand relational databases and acquire skills to solve basic and advanced problems in query formulation, data modeling, normalization, data requirements for business applications, and customization of database applications.

Название: Microsoft Azure: Automating With PowerShell
Автор: Sachin Srivastava
Издательство: Independently published
Год: 2020
Страниц: 169
Язык: английский
Формат: pdf, epub
Размер: 13.7 MB

Automate Microsoft Azure Tasks Using Windows PowerShell for your Microsoft Azure deployments. Microsoft Azure offers a plethora of cloud-based services that can integrate into an enterprise organization's data center infrastructures. From Active Directory to virtual machines, organizations that make full use of Azure services have a lot to configure and manage. Using PowerShell, most Azure configuration and management tasks can be streamlined and automated. This book explores using Microsoft Azure PowerShell to manage the commonly used services of Microsoft Azure.

Название: Creating Good dаta: A Guide to Dataset Structure and Data Representation
Автор: Harry J. Foxwell
Издательство: Apress
Год: 2020
Страниц: 112
Язык: английский
Формат: pdf (true), rtf, epub
Размер: 10.1 MB

Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to clean and transform datasets before serious analyses can even be started. Inappropriate or confusing representations, unit of measurement choices, coding errors, missing values, outliers, etc., can be avoided by using good dataset design and by understanding how data types determine the kinds of analyses which can be performed.

Название: Learn Data Science Using SAS Studio: A Quick-Start Guide
Автор: Engy Fouda
Издательство: Apress
Год: 2020
Формат: PDF, EPUB
Страниц: 226
Размер: 22 Mb
Язык: English

Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks.

Название: SQL Fundamentals: SQL Database Programming
Автор: Richard Baker
Издательство: memlnc
Год: 2020
Страниц: 169
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

SQL (Structured Query Language) is the programming language that we use to communicate with databases. Through this language, we can store data in a database and then change it, delete it, and retrieve it. It’s a powerful tool that virtually every company in the world relies on in some way.

Название: BigQuery for Data Warehousing: Managed Data Analysis in the Google Cloud
Автор: Mucchetti, Mark
Издательство: Apress
Год: 2020
Формат: PDF
Страниц: 539
Размер: 10 Mb
Язык: English

Create a data warehouse, complete with reporting and dashboards using Google’s BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization. BigQuery is a managed cloud platform from Google that provides enterprise data warehousing and reporting capabilities.

Название: Business Intelligence and Big dаta: Drivers of Organizational Success
Автор: Celina M. Olszak
Издательство: CRC Press / Auerbach Publications
Год: 2020
Страниц: 195
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

Business Intelligence and Big dаta: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The complex nature of Big Data resources requires the use of advanced techniques for processing and analyzing them. These techniques are data mining, text mining, web mining, graph mining, network analysis, machine learning, deep learning, neural networks, genetic algorithms (GAs), spatial analysis, and search-based application.

Название: Linked Data Visualization: Techniques, Tools, and Big Data
Автор: Laura Po, Nikos Bikakis
Издательство: Morgan & Claypool
Год: 2020
Страниц: 157
Язык: английский
Формат: pdf (true)
Размер: 27.7 MB

Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been adopted as the established practice for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization topics, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents core concepts related to data visualization and LD technologies, techniques employed for data visualization based on the characteristics of data, techniques for Big Data visualization, tools and use cases in the LD context, and, finally, a thorough assessment of the usability of these tools under different scenarios.