Название: Handbook of Research for Big dаta: Concepts and Techniques
Автор: Brojo Kishore Mishra, Vivek Kumar, Sanjaya Kumar Panda, Prayag Tiwari
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 400
Размер: 32,2 Mb
Язык: English

Data has become a valuable asset like never before. Today the challenge is not a shortage of data but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing mass of Big Data. This new volume, Handbook of Research for Big dаta: Concepts and Techniques, helps to meet the challenge of managing and using Big Data by presenting new research on various technological advances in the field.

Название: Делопроизводство и секретарская работа на персональном компьютере
Автор: Попов С.Л.
Издательство: СОЛОН-Пресс
Год: 2017
Cтраниц: 423
Формат: pdf
Размер: 102 мб
Язык: русский

В книге С.Л. Попова, ученого и технического писателя, содержатся сведения о системах документации, организации делопроизводственного процесса и технике делопроизводственных операций, в том числе с использованием персонального компьютера. Представлен материал по разработке электронных документов на основании шаблонов, ведению баз данных документов и дел, использованию сети Интернет и электронной почты в делопроизводстве. С этой целью рассмотрены необходимые вопросы работы в среде операционных систем Windows и использования прикладных программ Word, Excel, Outlook Express, Internet Explorer компании Microsoft.

Название: Data Governance Success: Growing and Sustaining Data Governance
Автор: Rupa Mahanti
Издательство: Springer
Год: 2021
Страниц: 237
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

While good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively manage data assets throughout the enterprise by providing guidance in the form of policies, standards, processes and rules and defining roles and responsibilities outlining who will do what, with respect to data. While implementing data governance is not rocket science, it is not a simple exercise. There is a lot confusion around what data governance is, and a lot of challenges in the implementation of data governance. Data governance is not a project or a one-off exercise but a journey that involves a significant amount of effort, time and investment and cultural change and a number of factors to take into consideration to achieve and sustain data governance success. Data Governance Success: Growing and Sustaining Data Governance is the third and final book in the Data Governance series.

Название: How To Start A Career In Data Science | Advice From 20 Experts: A Step-by-Step Guide On How To Become A Data Scientist
Автор: Dr Briit
Издательство: Independently published
Год: 2022
Страниц: 102
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

All the information that you need to start a successful career in Data Science. Do you want to become a Data Scientist? Over half of all businesses are using data science to generate insights and value from big data. Data Scientist has been named as the No. 1 Best Job in the US and around the world. However, starting a successful career in Data Science can be very confusing. "How To Start A Career In Data" has all the information that you need to get started. This book features 6 expert Data Scientist who are currently working as in both Startup and big companies like IBM, American Express, Forbes, Fractal Analytics, etc. It features one of the top 10 Data Scientist in India and US. With this book, you’ll learn exactly how to get started in Data Science step-by-step. Providing clearer explanation to buzz words, what to learn first, second, and others.

Название: Computational Intelligence in Data Science
Автор: Vallidevi Krishnamurthy, Suresh Jaganathan, Kanchana Rajaram, Saraswathi Shunmuganathan
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 229
Размер: 24,8 Mb
Язык: English

The 20 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.

Название: The Future of Observability with OpenTelemetry
Автор: Ted Young
Издательство: O’Reilly Media, Inc.
Год: 2022
Формат: ePUB
Страниц: 75
Размер: 10 Mb
Язык: English

The world of observability is in the midst of a seismic shift. Until recently, collecting telemetry data meant running multiple, uncoordinated pipelines. Now, OpenTelemetry provides users with a single integrated stream of data, containing all common forms of observability. With this report, CTOs, analysts, system architects, and DevOps practitioners will learn how OpenTelemetry will change the way we practice observability.

Название: Microsoft Office Inside Out (Office 2021 and Microsoft 365)
Автор: Joe Habraken
Издательство: Pearson Education
Год: 2022
Формат: ePUB
Страниц: 1138
Размер: 74,6 Mb
Язык: English

Conquer Office apps in Microsoft 365 -- from the inside out!
Dive into Microsoft Office and really put its productivity tools and services to work! This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds -- all you need to make the most of Office's most powerful tools for productivity and decision-making.
Renowned Office expert Joe Habraken offers a complete tour, with cutting-edge techniques and shortcuts for Word, Excel, PowerPoint, Outlook, OneNote, and Teams. Discover how experts tackle today's key tasks -- and challenge yourself to new levels of mastery.

Название: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365), 7th edition
Автор: Wayne L. Winston
Издательство: Microsoft Press/Pearson Education
Год: 2022
Страниц: 1168
Язык: английский
Формат: epub
Размер: 57.9 MB

Master business modeling and analysis techniques with Microsoft Excel and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. A lot has changed in Office 365 since the previous edition. This new edition covers new functions (STOCKHISTORY, LET, LAMBDA, XLOOKUP) and new array functions. It also covers the new Data types that have been added. Finally, we've increased the coverage of Power Pivot , Macros, and Power Query.

Название: Microsoft Excel Pivot Table Data Crunching (Office 2021 and Microsoft 365)
Автор: Bill Jelen
Издательство: Pearson Education
Год: 2022
Формат: ePUB
Страниц: 979
Размер: 30 MB
Язык: English

Renowned Excel expert Bill Jelen (MrExcel) helps you crunch data from any source with Excel pivot tables.
Use Excel pivot tables and pivot charts to produce powerful, dynamic reports in minutes instead of hours, to take control of your data and your business. Even if you’ve never created a pivot table before, this book will help you leverage all their remarkable flexibility and analytical powerincluding valuable improvements in Excel and Excel in Office 365. Drawing on years of Excel experience, Bill Jelen offers practical “recipes” for solving real business problems, helps you avoid common mistakes, and presents tips and tricks you’ll find nowhere else.

Название: Common Data Sense for Professionals: A Process-Oriented Approach for Data-Science Projects
Автор: Rajesh Jugulum
Издательство: Routledge
Год: 2022
Страниц: 123
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. The goal of this book is to provide a step-by-step guide to the Data Science process so that you can feel confident in leading your own data science project. Although this book is intended to help regular people by providing a step-by-step guide with simple game plans/strategies, it is important to have the right tools. The later chapters of the book will address data collection, model building, and analysis of data. In order to properly analyze data and begin model building, you will need access to data analytics software programs. The software will help you sort through your data and manipulate your data in order to gather insights. The choice of your software has no influence on the overall data science process.