Название: Hands on Azure Data Studio: Microsoft's Open Platform for Data Engineering and Analytics
Автор: Jim Miller
Издательство: Leanpub
Год: 2021
Формат: PDF, ePUB
Страниц: 142
Размер: 12 Mb
Язык: English

This book introduces Microsoft Azure Data Studio and shows how anyone working with data -- Database Developers, Data Analysts, Data Scientists, Database Administrators, and Software Developers -- can use Azure Data Studio to dramatically streamline and accelerate their daily work. Learn to connect to databases whether in the Azure cloud or hosted on premises in your corporate environment. You can even connect to databases from competing brands and from the world of open source. Then learn how you can query and analyze data using a fusion of languages such as Python, SQL, and PowerShell neatly wrapped in Jupyter Notebooks.

Название: The PowerShell Practice Primer : 100+ Exercises for Improving Your PowerShell Skills
Автор: Jeff Hicks
Издательство: Leanpub
Год: 2021-03-02
Страниц: 133
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 12.4 MB

Have you started to learn PowerShell but don't know what to do next? Want to test your PowerShell skills? Here are 100+ PowerShell challenges to improve your PowerShell proficiency and enhance your PowerShell learning skills. No scripting is required! Created by one of the top PowerShell experts you know and trust. Enhance your PowerShell Learning In a Whole New Way. Long-time Microsoft MVP and veteran PowerShell teacher Jeff Hicks has created a PowerShell book, unlike anything you've read before. Those other books are great, and the assumption for this book is that you have read something like Learn Windows PowerShell in a Month of Lunches or have equivalent experience. You understand some PowerShell basics but need to improve your fluency. Learning PowerShell is no different than learning any foreign language. You need to practice it and use it constantly.

Название: Your Excel Survival Kit: Your Guide to Surviving and Thriving in an Excel World, 2nd Edition
Автор: Anne Walsh
Издательство: Holy Macro! Books
Год: 2021
Формат: True ePUB
Страниц: 267
Размер: 11 Mb
Язык: English

You have just been promoted into a job that requires more Excel skills than ever. You are floundering, drowning in a sea of spreadsheets. This book walks you through the program in an accessible way—everything from vlookups, pivot tables, and Power Query to Power BI and Power Pivot. The Excel Survival Kit is small enough to slip into your purse and carry with you to the office.

Название: Applications of Computer Science and Technology in Different Fields
Автор: Adele Kuzmiakova
Издательство: Arcler Press
Год: 2021
Страниц: 298
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

This book discusses common myths and misunderstandings about Computer Science (CS). It is committed to solving these problems and trying to eliminate misconceptions in order to provide potential computer science pupils and the overall public a more realistic outlook of the field. It provides a perspective of different fields where computer science is applicable, such as the medical field, business, linguistics, robotics, agriculture, sports, and the environment. The book mentions that computer science (CS) is at the crossroads of most modern occupations. It discusses the development of human-computer interaction that has been going on for years, reshaping the way people do things today.

Название: Digital Circuit Simulation Using Excel
Автор: Anthony Mazzurco
Издательство: Gatekeeper Press
Год: 2020
Формат: True ePUB
Страниц: 238
Размер: 18 Mb
Язык: English

This book develops techniques for simulating digital logic circuits in Microsoft’s Excel that provide a useful tool to both the student and the practicing engineer. It introduces the subject by showing how logic devices, taken from the standard 7400 family, can be modeled and stored in a library. These functions can then be combined by the user as building blocks to design more complex circuits, both combinatorial and sequential. The simulations not only allow the designs to be verified to ensure they provide expected outputs and states, but can also perform detailed timing analysis. Worst case timing conditions can be imposed to stress the circuits so that the resultant behavior can be observed. Methods showing how the user can add additional devices to the simulation library are also covered.

Название: Базы данных. Проектирование, программирование, управление и администрирование
Автор: Волк В. К.
Издательство: Лань
Год: 2021
Cтраниц: 340
Формат: pdf
Размер: 46 мб
Язык: русский

Базы данных — одно из направлений IT-индустрии, в рамках которого традиционно рассматриваются технологии надежного хранения больших объемов информации, ее эффективного поиска и извлечения по запросам потребителей.

Название: The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem
Автор: Edward Curry, Andreas Metzger
Издательство: Springer
Год: 2021
Страниц: 411
Язык: английский
Формат: pdf (true), epub
Размер: 56.2 MB

This book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for Big Data.

Название: Knowledge Management in the Development of Data-Intensive Systems
Автор: Ivan Mistrik, Matthias Galster, Bruce R. Maxim, Bedir  Tekinerdogan
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 341
Размер: 10 Mb
Язык: English

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge.

Название: Data Science and Big Data Analytics in Smart Environments
Автор: Marta Chinnici, Florin Pop, C. Negru
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 305
Размер: 10 Mb
Язык: English

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs.

Название: Data Science and Its Applications
Автор: Aakanksha Sharaff, G. R. Sinha
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 379
Размер: 40,5 Mb
Язык: English

The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others.