Название: PostgreSQL 15 изнутри
Автор: Рогов Е.В.
Издательство: ДМК Пресс
Год: 2023
Страниц: 664
Язык: русский
Формат: pdf
Размер: 12.7 MB

В книге рассматривается внутреннее устройство СУБД PostgreSQL: детали реализации многоверсионности и изоляции на основе снимков данных, включая процедуру очистки неактуальных версий строк; буферный кеш и журнал предзаписи; использование блокировок различных уровней; планирование и выполнение SQL-запросов; принципы расширяемости и особенности имеющихся индексных методов доступа. Большое внимание уделяется возможностям, предоставляемым для самостоятельного изучения механизмов функционирования PostgreSQL. В настоящем издании учтены замечания читателей и исправлены опечатки, а также отражены изменения, произошедшие в версии PostgreSQL 15.

Название: Practical Linux System Administration: A Guide to Installation, Configuration, and Management (Fourteenth Early Release)
Автор: Ken Hess
Издательство: O’Reilly Media, Inc.
Год: 2023-03-23
Страниц: 274
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

This essential guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams. Linux system administration means different things to different people. Administration, for this book, means the daily actions that a Linux system administrator must take to manage and support users, maintain system health, implement best practices for security, install software, and perform housekeeping tasks. You’ll spend a significant portion of your time at the command line, also known as the command line interface (CLI).

Название: The Complete Linux Coding Manual - 17th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 148
Язык: английский
Формат: pdf
Размер: 60.0 MB

Узнайте все, что вам нужно знать, чтобы освоить кодирование с помощью ОС Linux! Те, кто ввел мир открытого кода в свою цифровую жизнь, считают эту замечательную операционную систему и доступные бесплатные программы, которые она предлагает, глотком свежего воздуха. Linux предлагает пользователю быструю, безопасную среду для работы и игр, свободную от раздутого программного обеспечения. Вы не только можете настроить ее по своему вкусу, но и наслаждаться превосходной повседневной настольной операционной системой, разработанной сообществом пользователей-единомышленников. Присоединяйтесь к нашей команде экспертов, и они проведут вас по новым руководствам и учебным материалам, чтобы помочь вам пополнить свои знания с каждым новым выпуском.

Название: Essential Statistics for Data Science: A Concise Crash Course
Автор: Mu Zhu
Издательство: Oxford University Press
Год: 2023
Страниц: 177
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three part text introduces readers to the basics of probability and random variables and guides them towards relatively advanced topics in both frequentist and Bayesian in a matter of weeks.Part I, Talking Probability explains the statistical approach to analysing data with a probability model to describe the data generating process. Part II, Doing Statistics demonstrates how the unknown quantities in data i.e. it's parameters is applicable in statistical interference. Part III, Facing Uncertainty explains the importance of explicity describing how much uncertainty is caused by parameters with intrinsic scientific meaning and how to take that intoaccount when making decisions.Essential Statistics for Data Science: A Concise Crash Course provides an in-depth introduction for beginners, while being more focused than a typical undergraduate text, but still lighter and more accessible than an average graduate text. At the frontier of statistics, Data Science, or Machine Learning, the probability models used to describe the data-generating process can be pretty complex.

Название: Designing Data Governance from the Ground Up: Six Steps to Build a Data-Driven Culture
Автор: Lauren Maffeo
Издательство: Pragmatic Bookshelf
Год: January 2023 (Version: P1.0)
Страниц: 191
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Businesses own more data than ever before, but it’s of no value if you don’t know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you’ll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment. In the last decade, the amount of data people produced grew 3,000 percent. Most organizations lack the strategy to clean, collect, organize, and automate data for production-ready projects. Without effective data governance, most businesses will keep failing to gain value from the mountain of data that’s available to them. There’s a plethora of content intended to help DataOps and DevOps teams reach production, but 90 percent of projects trained with Big Data fail to reach production because they lack governance.

Название: Data Mining: Concepts and Techniques, 4th Edition
Автор: Jiawei Han, Jian Pei, Hanghang Tong
Издательство: Morgan Kaufmann/Elsevier
Год: 2023
Страниц: 786
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data , or KDD . It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.

Название: Exam Ref PL-900 Microsoft Power Platform Fundamentals, 2nd Edition
Автор: Craig Zacker
Издательство: Microsoft Press/Pearson Education
Год: 2023
Страниц: 389
Язык: английский
Формат: epub
Размер: 29.6 MB

Prepare for Microsoft Exam PL-900.Demonstrate your real-world knowledge of the fundamentals of Microsoft Power Platform, including its business value, core components, and the capabilities and advantages of Power BI, Power Apps, Power Automate, and Power Virtual Agents. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power Platform Fundamentals level. Microsoft Power Platform is a collection of tools that are designed to simplify the process of gathering, processing, and reporting company data.

Название: Azure SQL Hyperscale Revealed: High-performance Scalable Solutions for Critical Data Workloads
Автор: Zoran Barac, Daniel Scott-Raynsford
Издательство: Apress
Год: 2023
Страниц: 459
Язык: английский
Формат: pdf
Размер: 29.1 MB

Take a deep dive into the Azure SQL Database Hyperscale Service Tier and discover a new form of cloud architecture from Microsoft that supports massive databases. The new horizontally scalable architecture, formerly code-named Socrates, allows you to decouple compute nodes from storage layers. This radically different approach dramatically increases the scalability of the service. This book shows you how to leverage Hyperscale to provide next-level scalability, high throughput, and fast performance from large databases in your environment. The book begins by showing how Hyperscale helps you eliminate many of the problems of traditional high-availability and disaster recovery architecture. You’ll learn how Hyperscale overcomes storage capacity limitations and issues with scale-up times and costs. With Hyperscale, your costs do not increase linearly with database size and you can manage more data than ever at a lower cost.

Название: Windows Everywhere : The rise and fall of the most important software platform of all time
Автор: Paul Thurrott, Rafael Rivera
Издательство: Leanpub
Год: 2023-03-19
Страниц: 938
Язык: английский
Формат: pdf (true)
Размер: 139.7 MB

This is the story of Microsoft Windows, but told in a different way and from a different perspective. It is the story of the aspirations that Microsoft had for the platform over time. Object-Oriented Programming in the era of “Cairo.” The brief moment when the .NET craze engulfed the company. The touch-first mania of Windows 8. And so much more. The history of Windows can be seen as a series of reactions to competitors, market trends, and internal forces that were seeking change. Along the way, Microsoft worked to improve and adapt Windows to an incredible variety of new uses cases, form factors, and competition. From a milestone perspective, most normally think of the history of Windows as a series of product version releases starting in 1985. That history is well-documented, I think, but since it’s important to our alternate history of application development technologies, it’s perhaps worth considering briefly.

Название: Guide to Teaching Data Science: An Interdisciplinary Approach
Автор: Orit Hazzan, Koby Mike
Издательство: Springer
Год: 2023
Страниц: 330
Язык: английский
Формат: pdf (true), epub
Размер: 15.8 MB

Data Science is a new discipline of research that is gaining growing interest in both industry and academia. As a result, demand is increasing for Data Science programs for a variety of learners from a variety of disciplines (Data Science, Computer Science, statistics, engineering, life science, social science and humanities) and a variety of levels (from school children to academia and industry). While significant efforts are being invested in the development of Data Science curricula, or in other words, in what to teach, only sporadic discussions focus today on the Data Science pedagogy, that is, on how to teach. This is the focus of this guide. This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many Data Science concepts (e.g., data thinking and the Data Science workflow), main Machine Learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and Data Science professional topics.