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MySQL Cookbook, 4th Edition (Sixth Early Release)Название: MySQL Cookbook, 4th Edition (Sixth Early Release)
Автор: Sveta Smirnova, Alkin Tezuysal
Издательство: O’Reilly Media, Inc.
Год: 2022-01-31
Страниц: 649
Язык: английский
Формат: pdf, epub
Размер: 10.3 MB

For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch. In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON.
Разместил: Ingvar16 1-02-2022, 05:48 | Комментарии: 0 | Подробнее
SQL in a Nutshell: A Desktop Quick Reference, 4th Edition (Third Early Release)Название: SQL in a Nutshell: A Desktop Quick Reference, 4th Edition (Third Early Release)
Автор: Kevin Kline, Regina O. Obe, Leo S. Hsu
Издательство: O’Reilly Media, Inc.
Год: 2022-01-28
Страниц: 977
Язык: английский
Формат: pdf, epub
Размер: 10.3 MB

For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands are implemented in Microsoft SQL Server 2019 and Oracle 19c, as well as in the MySQL 8, MariaDB 10.5, and PostgreSQL 13 open source database products.
Разместил: Ingvar16 29-01-2022, 05:21 | Комментарии: 0 | Подробнее
Advanced Data Mining Tools and Methods for Social ComputingНазвание: Advanced Data Mining Tools and Methods for Social Computing
Автор: Sourav De, Sandip Dey
Издательство: Academic Press, Elsevier
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, Machine Learning, soft computing techniques, and their applications in the field of social network analysis.
Разместил: Ingvar16 29-01-2022, 04:39 | Комментарии: 0 | Подробнее
Название: Exploring Microsoft Office Excel 2019 Comprehensive
Автор: Mary Anne Poatsy
Издательство: Pearson
Год: 2019
Формат: PDF
Страниц: 795
Размер: 71 Mb
Язык: English

Now live! SUMMER 2020 DIGITAL UPDATE for digital content
Microsoft Office 365 updates are reflected in the eText and associated MyLab for this title. Instructors, to learn more, contact your Pearson representative.
For courses covering introductory Microsoft® Excel.
Разместил: vitvikvas 28-01-2022, 04:21 | Комментарии: 0 | Подробнее
Green Computing and Its ApplicationsНазвание: Green Computing and Its Applications
Автор: Sanjay Kumar, Rohit Raja
Издательство: Nova Science Publishers
Серия: Computer Science, Technology and Applications
Год: 2021
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 10.16 MB

Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving overall performance. The most common technologies include classification and clustering which are very much in use to predict data. These algorithms also pave the way for overcoming the challenges we face in daily life. Huge data sets are classified and clustered to find out the accurate result. The accuracy and error rate are also calculated for regression, classification and clustering to find out the actual result. The applications include fraud detection, image processing, medical diagnosis, predicting weather etc. Going further, the applications have been increasing in different areas and fields. This bookis intended for industrial and academic researchers, scientists and engineers in information technology, green computing, Data Science, and machine and Deep Learning.
Разместил: Ingvar16 27-01-2022, 17:36 | Комментарии: 0 | Подробнее
Название: Numerical Calculation for Physics Laboratory Projects Using Microsoft EXCEL
Автор: Shinil Cho
Издательство: Morgan and Claypool Publishers
Год: 2019
Формат: PDF
Страниц: 162
Размер: 60 Mb
Язык: English

This book covers essential Microsoft EXCEL computational skills while analyzing introductory physics projects.
Topics of numerical analysis include; multiple graphs on the same sheet, calculation of descriptive statistical parameters, a 3-point interpolation, the Euler and the Runge-Kutter methods to solve equations of motion, the Fourier transform to calculate the normal modes of a double pendulum, matrix calculations to solve coupled linear equations of a DC circuit, animation of waves and Lissajous figures, electric and magnetic field calculations from the Poisson equation and its 3D surface graphs, variational calculus such as Fermat's least traveling time principle and the least action principle. Nelson's stochastic quantum dynamics is also introduced to draw quantum particle trajectories.
Разместил: vitvikvas 27-01-2022, 12:26 | Комментарии: 0 | Подробнее
Название: Data Analytics: Principles, Tools, and Practices: A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools
Автор: Dr. Gaurav Aroraa, Chitra Lele, Dr. Munish Jindal
Издательство: BPB Publications
Год: 2022
Формат: ePUB, PDF
Страниц: 878
Размер: 11,7 Mb
Язык: English

A Complete Data Analytics Guide for Learners and Professionals.
Key Features
- Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database.
- Dive into Machine Learning, its tools, and applications.
- Coverage of applications of Big Data, Data Analysis, and Business Intelligence.
Разместил: vitvikvas 26-01-2022, 10:21 | Комментарии: 0 | Подробнее
Understanding Infrastructure Edge Computing: Concepts, Technologies, and ConsiderationsНазвание: Understanding Infrastructure Edge Computing: Concepts, Technologies, and Considerations
Автор: Alex Marcham
Издательство: Wiley
Год: 2021
Страниц: 354
Язык: английский
Формат: pdf (true), epub
Размер: 10.14 MB

A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years. Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better performance and to enable new economical applications. It is vital for those operating at business or technical levels to be positioned to capitalize on the changes that will occur as a result of infrastructure edge computing. This book was written for an audience of technologists, decision makers, and engineers in the fields of telecommunications, networking, data centres, and application development and operation who are interested in new emerging areas of technology, such as edge computing, fifth generation (5G), and distributed Artificial Intelligence (AI).
Разместил: Ingvar16 26-01-2022, 04:34 | Комментарии: 0 | Подробнее
Metadata in the Digital Library: Building an Integrated Strategy with XMLНазвание: Metadata in the Digital Library: Building an Integrated Strategy with XML
Автор: Richard Gartner
Издательство: Facet Publishing
Год: 2021
Страниц: 200
Язык: английский
Формат: epub
Размер: 10.2 MB

Metadata in the Digital Library is a complete guide to building a digital library metadata strategy from scratch, using established metadata standards bound together by the markup language XML. The book introduces the reader to the theory of metadata and shows how it can be applied in practice. It lays out the basic principles that should underlie any metadata strategy, including its relation to such fundamentals as the digital curation lifecycle, and demonstrates how they should be put into effect. It introduces the XML language and the key standards for each type of metadata, including Dublin Core and MODS for descriptive metadata and PREMIS for its administrative and preservation counterpart. Finally, the book shows how these can all be integrated using the packaging standard METS.
Разместил: Ingvar16 26-01-2022, 02:54 | Комментарии: 0 | Подробнее
Industry 4.0 Interoperability, Analytics, Security, and Case StudiesНазвание: Industry 4.0 Interoperability, Analytics, Security, and Case Studies
Автор: G. Rajesh, X. Mercilin Raajini
Издательство: CRC Press
Серия: Big Data for Industry 4.0: Challenges and Applications
Год: 2021
Страниц: 332
Язык: английский
Формат: pdf (true), epub
Размер: 12.9 MB

All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects. Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, Machine Learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges. Big Data Analytics (BDA) can be referred to as “the process of analyzing large scale datasets in order to find unknown correlations, hidden patterns, and other valuable information which is not able to be analysed using conventional data analytics”, as the conventional data analysis techniques are no longer effective because of the special characteristics of big dаta: massive, heterogeneous, high dimensional, complex, erroneous, unstructured, noisy, and incomplete.
Разместил: Ingvar16 25-01-2022, 16:12 | Комментарии: 0 | Подробнее
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