Litgu.ru - Литературный Гуру

Название: Tableau for Salesforce: Visualise data and generate insights with the leading platforms for data analytics
Автор: Damiana Spadafora, Lars Malmqvist
Издательство: BPB Publications
Год: 2024
Страниц: 266
Язык: английский
Формат: epub (true)
Размер: 23.5 MB

Connect, analyze, decide: Seamless integration of Tableau and Salesforce. Cloud data architectures are a valuable tool for organizations that want to use data to make better decisions. By Tableau is a powerful data visualization tool, and Salesforce CRM is the most successful customer relationship management software. Companies often use these two tools to analyze data and create visualizations. The book starts with an introduction to both Tableau and Salesforce CRM. It then goes on to show how you can connect Tableau with Salesforce CRM and link the two tools. Then, it walks through some of the key features of this connection that allow for seamless data analysis and visualization. It then moves on to advanced use cases, combining Salesforce and Tableau for advanced analytics and decision-making. The Tableau software ecosystem contains a number of different elements that together provide an unparalleled data analytics experience. Tableau Desktop is a drag-and-drop analytics and data visualization software that allows you to connect to a wide range of data sources, create ad hoc analyses, build cohesive dashboards, and share views with others. Tableau Public, a free version of Tableau Desktop, is suitable for non-proprietary data analysis and allows users to connect to limited data sources like Microsoft Excel. Tableau Server is a central repository managed by organizations that store all published workbooks, shared data sources, and/or Tableau Prep workflows. In this book, we will focus mainly on Tableau Desktop to do the analysis of Salesforce data. After reading this book, the reader will have the knowledge to start using both tools to analyze real-world CRM data and create CRM analytical dashboards that generate value for their companies. This book is targeted at people who are interested in Tableau and Salesforce. This includes Tableau Desktop users in organizations with Salesforce CRM and Salesforce consultants or administrators.

Название: SAP Analytics Cloud, 3rd edition (updated and revised)
Автор: Abassin Sidiq
Издательство: Rheinwerk Publishing Inc.
Год выхода: 2024
Формат: epub
Размер: 22,1 MB
Язык: английский

Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about storieshow to create visualizations for them, publish them, and enhance them. With expanded information on the analytics designer, analytics catalog, and planning models, this fully updated edition is your one-stop shop for all your SAP Analytics Clouds needs!

Название: Windows 10 User Manual - 22th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 169
Язык: английский
Формат: pdf
Размер: 60.1 MB

Welcome to Papercut's Windows 10 User Manual! Inside you will find step-by-step guides designed to make getting the most from your computer effortless, with something new to learn on every page. From sending emails and chatting to Cortana, to customising the Start Menu and scanning for malware, this book is filled with guides, tutorials and tips that are perfect for anyone wanting to improve their understanding of Windows 10. No matter if you are a long-time PC user or a complete Windows novice booting up your first laptop, there is something here for everyone! Including some of the most important elements of Windows 10, and something everyone who uses a computer online should know more about, the securityand privacy features. So, what are you waiting for? Turn the page and start to build your understanding of Windows 10!

Название: Обработка и представление данных в MS Excel: Учебное пособие для СПО, 3-е изд.
Автор: Бурнаева Э.Г., Леора С.Н.
Издательство: Лань
Год: 2024
Страниц: 155
Язык: русский
Формат: pdf
Размер: 22.9 MB

Книга посвящена эффективному использованию инструментов приложения Excel для обработки и анализа многомерных данных с целью их систематизации, выявления характера и структуры взаимосвязей. Пройдя путь от структурирования данных до создания простейшей базы данных, на основе которой можно строить различные сводные таблицы для нахождения ответов на поставленные вопросы, читатель научится извлекать необходимую информацию и знание из множества данных. Дополнительно к этому, в книге рассматривается одна из наиболее востребованных задач — статистическая обработка данных, полученных в результате случайного эксперимента. Особое внимание уделено визуализации данных с помощью диаграмм и дополнительных возможностей, предоставляемых в последних версиях Excel. С развитием Интернета пользователи получили доступ к огромному объему данных. Сами по себе данные не пред­ставляют большой ценности. Необходимо научиться из­влекать из них нужную, адекватную информацию, а зна­чит, уметь эти данные структурировать, обрабатывать и, наконец, представлять. Самым доступным инструментом для реализации всех этих задач являются электронные таблицы. Excel — про­граммный продукт два в одном, в котором удобно сочета­ются вычислительные и графические возможности. Excel включает в себя элементы баз данных, что по­зволяет хранить структурированные данные, осуществ­лять их сортировку, фильтрацию, выборку данных, удов­летворяющих необходимым критериям. И наконец, Excel как инструмент визуализации может использоваться для создания иллюстраций в стиле инфо­графики, современного направления информационного дизайна. Именно эти продвинутые возможностям являются пред­метом обсуждения в данном пособии. Теоретический и практический материал предназначен для работы в среде приложений Excel, которые открывает новые возможности обработки и представления данных.

Название: Математические методы принятия решений. Практикум в Microsoft Excel
Автор: Моисеев Г.В.
Издательство: Прометей
Год: 2022
Страниц: 292
Язык: русский
Формат: pdf
Размер: 11.2 MB

Дисциплина «Математические методы принятия решений» является обязательной дисциплиной базовой части профессионального цикла направления 38.03.05 «Бизнес-информатика». Изучение данной дисциплины нацелено на формирование у студентов теоретических сведений по применению математических методов в прикладных задачах принятия решений. В учебном пособии представлен материал практических занятий, выполненных в среде Microsoft Excel, для студентов, не имеющих глубокой подготовки в написании компьютерных программ или использовании специализированных математических пакетов. Пособие предназначено для организации самостоятельной работы студентов при прохождении дисциплины «Математические методы принятия решений» в 4,5 семестрах.

Название: Hands-On MySQL Administration: Managing MySQL on Premise and on the Cloud (3rd Early Release)
Автор: Arunjith Aravindan, Jeyaram Ayyalusamy
Издательство: O’Reilly Media, Inc.
Год: 2024-02-08
Страниц: 686
Язык: английский
Формат: epub
Размер: 45.9 MB

Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases. You'll learn how to create databases and implement backup and recovery, security configurations, high availability, scaling techniques, and performance tuning. Using practical techniques, tips, and real-world examples, authors Arunjith Aravindan and Jeyaram Ayyalusamy show you how to deploy and manage MySQL, Amazon RDS, Amazon Aurora, and Azure MySQL. By the end of the book, you'll have the knowledge and skills necessary to administer, manage, and optimize MySQL databases effectively. The Hands-On MySQL Administration book is designed for a diverse audience seeking to acquire expertise in efficiently managing MySQL both on-premise and in the Cloud. The book provides valuable insights and practical tips on how to optimize and manage MySQL databases effectively. The book is targeted at beginners, as well as intermediate to advanced-level professionals who already have a fundamental knowledge of database administration and aim to enhance their skills in MySQL. The primary audience for this book includes database administrators, developers, and IT professionals looking to manage, administer, and optimize MySQL databases efficiently.

Название: Head First SQL: A Learner's Guide to Querying and Managing Data, 2nd Edition (Third Early Release)
Автор: Kimberly Fessel
Издательство: O’Reilly Media, Inc.
Год: 2024-05-07
Страниц: 700
Язык: английский
Формат: epub
Размер: 29.0 MB

What will you learn from this book? Do you have an abundance of data but don't know how to make sense of it? Do you want to gain useful insights from your data, but you're not sure where to begin? Mining data is a vital, well-paying skill, and SQL provides the most fundamental way to query and manage data. But learning SQL can be intimidating. This thoroughly revised book teaches you SQL fundamentals in a painless and enjoyable manner. With the Head First series' hands-on, conversational style, you'll quickly grasp SQL concepts, then move to intermediate topics, including stored procedures and cloud databases. You'll gain the knowledge, skills, and confidence necessary to get the most out of your data with SQL. You’re learning great things about how you can organize the information from multiple documents into categories of data and arrange them in a grid-like table. You may have worked with data like this in software for spreadsheets such as Excel or Google Sheets. In this book, we’ll use SQL to create tables as well as find the information we put in them. So what is SQL? SQL is a programming languages for storing and retrieving tabular data, and by “tabular,” we just mean information that you can write down in a table with rows and columns.

Название: Ноутбук и Windows. Визуальный самоучитель (включая Windows 10)
Автор: Ирина Спира
Издательство: Питер
Год: 2016
Cтраниц: 112, цвет.ил.
Формат: pdf
Размер: 47 мб
Язык: русский

Эта книга написана специально для тех, кто впервые начинает пользоваться ноутбуком и операционной системой Windows. Здесь вы не найдете сложных терминов и непонятных определений. Ведь освоить ноутбук не сложнее, чем любое другое электронное устройство. Материал составлен максимально просто и сопровождается огромным количеством цветных иллюстраций. Все, что вам понадобится сделать, – прочитать немного текста и повторить действие, которое описано на странице.

Название: Non-Tech Savvy Seniors Guide to Windows 11: Step-By-Step Illustrated Manual To Mastering Windows 11 Quickly | Stop Asking For Help ! Gain The Skills To Manage Your PC On Your Own
Автор: Rick Sterling
Издательство: Independently published
Год: 2024
Страниц: 127
Язык: английский
Формат: pdf
Размер: 19.7 MB

The Seniors' Guide to Mastering Windows 11 with Ease! Discover a Detailed Step-by-Step Illustrated Guide That Makes Windows 11 Simple, Turning Complex Tasks into Effortless Ones! In a world where technology is woven into every part of life, mastering the essentials of Windows 11 becomes not just a skill but a key to autonomy and independence. Being able to navigate apps and features on your own means freeing yourself from relying on busy children or grandchildren. It's about building confidence and self-sufficiency. Windows 11 is the latest version of Microsoft’s operating system, playing a crucial role in managing software and hardware interactions on computers, laptops, or tablets. This involves efficiently and adequately organizing access to the hard drive, processing unit, memory, and storage space. Starting from Windows 1 in 1985, the Windows versions have evolved through Windows 95, Windows XP, Windows 7, Windows 8, Windows 10, and now to the current Windows 11. Each iteration has brought enhancements in the user interface and technological advancements in the background to enrich the computing experience. Windows is a dominant force in the PC and laptop market, except for Apple devices, for several reasons. Its popularity stems from its user-friendly interface, wide range of compatible applications, backward compatibility, extensive hardware support, plug-and-play functionality, and robust gaming features. Windows is a dominant force in the PC and laptop market, except for Apple devices, for several reasons. Its popularity stems from its user-friendly interface, wide range of compatible applications, backward compatibility, extensive hardware support, plug-and-play functionality, and robust gaming features.

Название: Predictive Data Modelling for Biomedical Data and Imaging
Автор: Poonam Tanwar, Tapas Kumar, K. Kalaiselvi, Haider Raza
Издательство: River Publishers
Год: 2024
Страниц: 392
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

In this book, we embark on a journey into the realm of predictive data modeling for biomedical data and imaging in healthcare. It explores the potential of predictive analytics in the field of medical science through utilizing various tools and techniques to unravel insights and enhance patient care. This volume creates a medium for an interchange of knowledge from expertise and concerns in the field of predictive data modeling. In detail, the research work on this will include the effective use of predictive data modeling algorithms to run image analysis tasks for understanding. Predictive Data Modelling for Biomedical Data and Imaging is divided into three sections, namely Section I – Beginning of Predictive Data Modeling for Biomedical Data and Imaging/Healthcare, Section II – Data Design and Analysis for Biomedical Data and Imaging/Healthcare, and Section III – Case Studies of Predictive Analytics for Biomedical Data and Imaging/Healthcare. We hope this book will inspire further research and innovation in the field of predictive data modeling for biomedical data and imaging in healthcare. Better healthcare and precise medicine may be developed using AI and multipurpose ML systems. These platforms may be used to find the best routes to customize and affordable therapies. Deep Learning algorithms focus on inducement of alike conclusions as human beings ensure by incessantly examining data conferring to a specified rational structure. TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. TensorFlow is designed to be a flexible, scalable, and efficient platform for building and training Machine Learning models. Keras is an open-source neural network library written in Python.