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Название: Cracking the Data Code: Pragmatics for Better Management and Governance
Автор: Richard C. Robinson
Издательство: Business Expert Press
Год: 2024
Страниц: 180
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Why do we continue to struggle with data? With all the powerful tools we have in processing power, data tools, and computer programming, we still search for some elusive truth to pervasive problems. AI hallucinates, 'good data' that we started with is suddenly unintelligible, systems that should talk to each other seamlessly continually experience errors and need correction. What we fail to incorporate into our data world is the fact that data is language and has entwined in that language its own code that does not get captured in databases, APIs, LLMs and the systems we use day in and day out. So, how can we crack this data code? Cracking the Data Code is a book about data. But what is data? Is it just numbers that provide quantifiable, unambiguous information? Is it an immutable reference source that can drive better decisions or automation through Machine Learning and Artificial Intelligence (AI)? Or is it another facade that holds so much unrealized promise? Data is the basis for creating statistics.

Название: Data Analytics for Smart Infrastructure: Asset Management and Network Performance
Автор: Yang Wang, Zhidong Li, Bin Liang, Hongda Tian, Ting Guo
Издательство: CRC Press
Год: 2025
Страниц: 203
Язык: английский
Формат: pdf (true), epub
Размер: 31.8 MB

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. Machine Learning and statistics are not polar opposites. Mathematics is fundamental to statistics, making it a powerful tool for bridging the gap between data and real-world problems. Similarly, Machine Learning acts as another layer, connecting fundamental theory to practical applications.

Название: Microsoft Excel Pivot Table Data Crunching Including Dynamic Arrays, Power Query, and Copilot
Автор: Bill Jelen
Издательство: Microsoft Press/Pearson Education
Год: 2025
Страниц: 915
Язык: английский
Формат: epub
Размер: 93.0 MB

Learn to use pivot tables and pivot charts in Microsoft Excel to produce powerful, dynamic reports in minutes: take control of your data and your business! Even if youve never created a pivot table before, this book will help you leverage their flexibility and analytical powerand includes exploration of new array functions and Copilot capabilities in analysis creation. Drawing on more than 30 years of cutting-edge Excel experience, MVP Bill Jelen (MrExcel) shares practical recipes for solving real business problems, expert insights for avoiding mistakes, and advanced tips and tricks youll find nowhere else. With a pivot table, you can transform one million rows of transactional data into a summary report in seconds. If you can drag a mouse, you can create a pivot table. In addition to quickly summarizing and calculating data, pivot tables enable you to change your analysis on the fly by simply moving fields from one area of a report to another. Generate pivot tables using either VBA on the Desktop or Typescript in Excel Online or on the Desktop.

Название: Mastering the Snowflake SQL API with Laravel 10: A Comprehensive Guide to Data Cloud Integrated Development
Автор: Ronald Steelman
Издательство: Apress
Год: 2024
Страниц: 134
Язык: английский
Формат: pdf
Размер: 43.7 MB

This book is your essential guide to mastering Snowflake’s SQL API, offering a comprehensive understanding of this powerful tool. In today’s data-driven world, robust, flexible, and scalable solutions are crucial, and Snowflake’s Data Cloud platform is a game-changer in cloud data warehousing and analytics. The book includes examples using both Snowflake and the Laravel PHP Framework, assuming basic knowledge of SQL and Laravel. Key topics include SQL API development, SQL basics, advanced techniques, data security, performance tuning, best practices for data warehousing, integrations, real-world use cases, future trends in data analytics, and leveraging PHP in Laravel for dynamic web applications. This book equips you with the skills to unlock insights, make data-driven decisions, and stay ahead in your industry.

Название: Collect, Combine, and Transform Data Using Power Query in Power BI and Excel, 2nd Edition
Автор: Daniil Maslyuk, Gil Raviv
Издательство: Microsoft Press/Pearson Education
Год: 2025
Страниц: 634
Язык: английский
Формат: epub
Размер: 34.9 MB

Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether you’re using Power BI, Excel, or other Microsoft products, Power Query’s capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, you’ll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, you’ll possess the expertise to handle any data and convert it into actionable insights. Power BI, Excel, Fabric, and Power Platform share a game-changing data connectivity and transformation technology, Power Query, that empowers any person with basic Excel skills to perform and automate data importing, reshaping, and cleansing. With simple UI clicks and a unified user experience across wide variety of data sources and formats, you can resolve any data preparation challenge and become a master data wrangler.

Название: Математическая теория баз данных
Автор(ы): В.Б. Кудрявцев, Э.Э. Гасанов, А.С. Подколзин
Издательство: Юрайт
Год: 2024
Страниц: 145
Формат: PDF
Размер: 12 Мб
Язык: русский

Предлагаемая книга написана на основе специальных курсов "Теория баз данных" и "Интеллектуальные системы", читаемых на кафедре математической теории интеллектуальных систем механико-математического факультета МГУ имени М. В. Ломоносова.
Книга рассчитана на студентов, аспирантов и специалистов в области математической кибернетики, дискретной математики и информатики.

Название: Interactive and Dynamic Dashboard: Design Principles
Автор: A. Vadivel, K. Meena, P. Sumathy, Henry Selvaraj, P. Shanmugavadivu
Издательство: CRC Press
Год: 2025
Страниц: 302
Язык: английский
Формат: pdf (true)
Размер: 54.8 MB

The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and Machine Learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation. A dynamic interactive dashboard is a vital resource in a variety of fields, such as business, finance, healthcare, and education, since it enables users to interact with data in real-­time. With the ability to update data in real-­time or on a regular basis, dynamic interactive dashboards guarantee that users always have access to the most recent information. A well-­liked Python framework called Plotly Dash was created especially for creating interactive dashboards and data visualizations that are accessible online. It makes use of Plotly.js’s capabilities to produce aesthetically pleasing graphs and charts with a great degree of customization and interactivity.

Название: Linux-Code fur Einsteiger - Dezember 2024
Издательство: Papercut Limited
Год / месяц: Dezember 2024
Страниц: 84
Формат: PDF
Размер: 44,6 MB
Язык: немецкий

Эта книга содержит подробное введение в основные функции и возможности Linux, включая установку дистрибутива Linux на компьютер, использование командной строки, управление пользователями и файлами, создание сетевых соединений и настройку различных служб. Вы также узнаете, как писать и использовать сценарии Bash. Как введение в программирование для Linux, эта книга будет полезна как профессионалам, так и любителям, предоставляя всю информацию, необходимую для того, чтобы войти в мир программирования для Linux и создавать отличные приложения. В этой книге вы найдете всю информацию, необходимую для того, чтобы войти в мир программирования под Linux и создавать отличные приложения.

Название: Chromebook Tricks and Tips - 13th Edition 2024
Издательство: Papercut
Год: 2024
Страниц: 98
Формат: PDF
Размер: 64,5 MB
Язык: English

Chromebook Tricks and Tips is the one stop user guide for the new Google powered laptop computer adopter or those want to learn everything you’ll need to get started with Google’s hardware. This independent manual is crammed with helpful guides and step-by-step fully illustrated tutorials, written in plain easy to follow English. Over the pages of this publication you will clearly learn everything you need to know about your Chromebook and it’s apps. With this unofficial instruction manual at your side no problem will be unsolvable, no question unanswered as you learn, explore and enhance your Google Chromebook user experience.

Название: DuckDB: Up and Running: Fast Data Analytics and Reporting
Автор: Wei-Meng Lee
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 381
Язык: английский
Формат: epub
Размер: 22.5 MB

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool. Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL.