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Название: Learning Microsoft Power Automate: Improving Productivity for Business Processes and Workflows (Final)
Автор: Paul Papanek Stork
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 351
Язык: английский
Формат: epub (true)
Размер: 19.9 MB

Processing information efficiently is critical to the successful operation of modern organizations. One particularly helpful tool is Microsoft Power Automate, a low-code/no-code development platform designed to help tech-savvy users create and implement workflows. This practical book explains how small-business and enterprise users can replace manual work that takes days with an automated process you can set up in a few hours using Power Automate. Paul Papanek Stork, principal architect at Don't Pa..Panic Consulting, provides a concise yet comprehensive overview of the foundational skills required to understand and work with Power Automate. You'll learn how to use these workflows, or flows, to automate repetitive tasks or complete business processes without manual intervention. This book will show you how to use Microsoft Power Automate to automate repetitive, manual, and time-consuming tasks. You’re about to take your first steps on a journey that will change the way you handle information every day. But, like all journeys, we need to start at the beginning. That means we need to understand what Power Automate is and how it fits into the broader Microsoft ecosystem.

Название: Learning Snowflake SQL and Scripting: Generate, Retrieve, and Automate Snowflake Data
Автор: Alan Beaulieu
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 762
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

To help you on the path to becoming a Snowflake pro, this concise yet comprehensive guide reviews fundamentals and best practices for Snowflake's SQL and Scripting languages. Developers and data professionals will learn how to generate, modify, and query data in the Snowflake relational database management system as well as how to apply analytic functions for reporting. Author Alan Beaulieu also shows you how to create scripts, stored functions, and stored procedures to return data sets using Snowflake Scripting. This book is ideal whether you're new to databases and need to run queries or reports against a Snowflake database, or transitioning from databases such as Oracle, SQL Server, or MySQL to cloud-based platforms. What Is SQL Scripting? If you have programmed with a procedural language such as Java, C#, or Go, you are familiar with such programming constructs as looping, if-then-else, and exception handling. SQL, being a nonprocedural language, has none of these constructs. To bridge this gap, most database platforms provide both a nonprocedural SQL implementation along with a procedural language that includes both the SQL data statements such as select and insert along with all of the usual procedural programming constructs.

Название: Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance
Автор: Jim Lehmer
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 425
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

If you were handed two different but related sets of data, what tools would you use to find the matches? What if all you had was SQL SELECT access to a database? In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data. Full of real-world techniques, the examples in the book contain working code.

Название: Cloud Data Architectures Demystified: Gain the expertise to build Cloud data solutions as per the organization's needs
Автор: Ashok Boddeda
Издательство: BPB Publications
Год: 2024
Страниц: 574
Язык: английский
Формат: pdf, epub
Размер: 18.2 MB

Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization. Cloud data architectures are a valuable tool for organizations that want to use data to make better decisions. By understanding the different components of Cloud data architectures and the benefits they offer, organizations can select the right architecture for their needs. This book is a holistic guide for using Cloud data technologies to ingest, transform, and analyze data. It covers the entire data lifecycle, from collecting data to transforming it into actionable insights. The readers will get a comprehensive overview of Cloud data technologies and AI/ML algorithms. The readers will learn how to use these technologies and algorithms to improve decision-making, optimize operations, and identify new opportunities. By the end of the book, you will have a comprehensive understanding of loud data architectures and the confidence to implement effective solutions that drive business success. This book is for executives, IT professionals, and data enthusiasts who want to learn more about Cloud data architectures. It does not require any prior experience, but a basic understanding of data concepts and technology landscapes will be helpful.

Название: R в действии. Анализ и визуализация данных на языке R
Автор: Кабаков Р.И.
Издательство: М.: ДMK
Год: 2014
Cтраниц: 588
Формат: pdf
Размер: 14 мб
Язык: русский

R – это мощный язык для статистических вычислений и графики, который может справиться поистине с любой задачей в области обработки данных. Он работает во всех важных операционных системах и поддерживает тысячи специализированных модулей и утилит. Все это делает R замечательным средством для извлечения полезной информации из гор сырых данных.

Название: Geospatial Data, Information, and Intelligence
Автор: Aaron Jabbour, Renny Babiarz
Издательство: Artech House
Год: 2023
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book provides practitioners with structured methods for transforming geospatial data into the useful information they need to solve some of the world's most pressing problems. It spotlights the importance of location for human experience in the everyday world and introduces spatial thinking as a foundation and the location mindset as a foundational perspective. The book starts by showing how geospatial analysis is part of a more general data-to-information refinement process that requires the right mindset, toolset, and skillset to achieve. The book then presents structured principles and practices to help geospatial analysts--whether in government or industry--improve their observational, analytical, and communication techniques. These techniques are part of an original framework for interpreting geospatial data and information: the Observe, Analyze, Communicate (OAC) Framework. The OAC framework helps practitioners at all levels break down the basic steps of their day-to-day practice and learn valuable tradecraft that they can employ during each step. You'll learn how to center location as a foundational perspective in everyday life; use unique geospatial observation, analysis, and communication techniques; and know how to account for the role of uncertainty in assessment and production processes -- including utilizing special techniques to effectively communicate levels of certainty and uncertainty to your audience.

Название: Crafting Docs for Success: An End-to-End Approach to Developer Documentation
Автор: Diana Lakatos
Издательство: Apress
Год: 2023
Страниц: 219
Язык: английский
Формат: pdf (true), epub
Размер: 19.8 MB

Developer documentation is an essential resource that provides developers with comprehensive information, guidance, and examples for effectively using APIs, frameworks, libraries, or software platforms. It's also a powerful tool in developer relations because it provides all the necessary information during the onboarding process, keeps your users informed on changes and plans, and helps you maintain relationships with your users, build a community, and encourage collaboration. Using a design thinking approach, this book aims to provide an easy to follow blueprint for building successful developer documentation drawing from the valuable insights gained while building the award winning platformOS developer portal. You'll work with practical usable templates, workflows, and tools validated and peer-reviewed by international experts in the fields of documentation, technical writing, developer relations, and UX design. This book reveals the many factors that have to be considered while crafting developer documentation, such as hitting the right target audience, designing a seamless onboarding experience, selecting the right workflows and data analysis methods. You'll delve into this complex mix of topics, each with its unique considerations, and understand why it's challenging for those working on developer documentation to grasp the entire process, including all essential ingredients, tools, and resources.

Название: Windows 11 QuickStart: A Complete Visual Reference Guide For Beginners, Students & Seniors
Автор: Anand Narayanaswamy
Издательство: Independently published
Год: 2023
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

Windows 11 QuickStart will be a useful resource for beginners, students, and tech-savvy senior citizens. The book has been authored in such a way that it serves as a perfect resource for anyone who is new to Windows 11 or who wants to learn more about the new operating system. Windows 11 QuickStart provides a detailed and comprehensive overview of the new operating system from Microsoft. Windows 11 QuickStart teaches all the core aspects such as features, design, performance and security of the next-generation Windows 11 operating system in a simple style and language. Windows 11 is a major revamp when compared with Windows 10 and includes brand new features such as a revamped Start menu, Search highlights, Bing Chat, Enhanced Multitasking capabilities, Improved screen capture and much more. The book will serve as a perfect study material for beginners and students including senior citizens who would like to learn the nuances of Windows 11 without any assistance. The aim of the book is to enable students and learners to grasp the concepts easily. The book is written in such a way that you just need to open the book and go through the discussed steps. The book includes several colored screenshots to support the discussed content. Moreover, you will find exclusive content inside boxes that helps you to learn important facts.

Название: Data Analytics and Digital Transformation
Автор: Erik Beulen, Marla A. Dans
Издательство: Routledge
Год: 2024
Страниц: 257
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Volumes of data are growing at an unprecedented speed, driven by the Internet of Things (IoT) and unstructured data (e.g. social media content), as well as additional data generated by transforming into digital organizations. This feeds back into data analytics as well as Data Science, requiring even more mature data management and governance to achieve enriched insights. In addition, the need to collaborate and share data is becoming an integral part of digital transformations. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. In addition, a deep dive into privacy and ethics will be included.

Название: Practical Implementation of a Data Lake: Translating Customer Expectations into Tangible Technical Goals
Автор: Nayanjyoti Paul
Издательство: Apress
Год: 2023
Страниц: 219
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions. Drawing upon a specific case from his own experience, author Nayanjyoti Paul begins with the consideration from which all subsequent decisions should flow: what does your customer need? He also describes the importance of identifying key stakeholders and the key points to focus on when starting a new project. Next, he takes you through the business and technical requirement-gathering process, and how to translate customer expectations into tangible technical goals. From there, you’ll gain insight into the security model that will allow you to establish security and legal guardrails, as well as different aspects of security from the end user’s perspective. You’ll learn which organizational roles need to be onboarded into the data lake, their responsibilities, the services they need access to, and how the hierarchy of escalations should work. Subsequent chapters explore how to divide your data lakes into zones, organize data for security and access, manage data sensitivity, and techniques used for data obfuscation. Audit and logging capabilities in the data lake are also covered before a deep dive into designing data lakes to handle multiple kinds and file formats and access patterns. For Data Scientists and Architects, Machine Learning Engineers, and Software Engineers.