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- Komunikacja i negocjacje
- Mała firma
- Marketing
- Motywacja
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- Perswazja i NLP
- Podatki
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- Public Relation
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- Start-up
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- Filozofie życiowe
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- Rodzicielstwo i psychologia dziecka
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- Sekret
- Seksualność
- Uwodzenie
- Wygląd i wizerunek
- Życiowe filozofie
DAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs.You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient.By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.
From creating networks and servers to automating the entire working environment, Linux has been extremely popular with system administrators for the last couple of decades. However, security has always been a major concern. With limited resources available in the Linux security domain, this book will be an invaluable guide in helping you get your Linux systems properly secured.Complete with in-depth explanations of essential concepts, practical examples, and self-assessment questions, this book begins by helping you set up a practice lab environment and takes you through the core functionalities of securing Linux. You'll practice various Linux hardening techniques and advance to setting up a locked-down Linux server. As you progress, you will also learn how to create user accounts with appropriate privilege levels, protect sensitive data by setting permissions and encryption, and configure a firewall. The book will help you set up mandatory access control, system auditing, security profiles, and kernel hardening, and finally cover best practices and troubleshooting techniques to secure your Linux environment efficiently.By the end of this Linux security book, you will be able to confidently set up a Linux server that will be much harder for malicious actors to compromise.
Thomas Bailey, Alessandro Biessek, Trevor Wills
There have been many attempts at creating frameworks that are truly cross-platform, but most struggle to create a native-like experience at high performance levels. Flutter achieves this with an elegant design and a wealth of third-party plugins, making it the future of mobile app development. If you are a mobile developer who wants to create rich and expressive native apps with the latest Google Flutter framework, this book is for you.This book will guide you through developing your first app from scratch all the way to production release. Starting with the setup of your development environment, you'll learn about your app's UI design and responding to user input via Flutter widgets, manage app navigation and screen transitions, and create widget animations. You'll then explore the rich set of third party-plugins, including Firebase and Google Maps, and get to grips with testing and debugging. Finally, you'll get up to speed with releasing your app to mobile stores and the web.By the end of this Flutter book, you'll have gained the confidence to create, edit, test, and release a full Flutter app on your own.
AI & Data Literacy. Empowering Citizens of Data Science
AI is undoubtedly a game-changing tool with immense potential to improve human life.This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape.We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions.Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed.Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.
This book will follow a recipe-based approach and start off with an introduction to the fundamentals of PowerShell, and explaining how to install and run it through simple examples. Next, you will learn how to use PowerShell to access and manipulate data and how to work with different streams as well. You will also explore the object model which will help with regard to PowerShell function deployment. Going forward, you will get familiar with the pipeline in its different use cases. The next set of chapters will deal with the different ways of accessing data in PowerShell. You will also learn to automate various tasks in Windows and Linux using PowerShell Core, as well as explore Windows Server. Later, you will be introduced to Remoting in PowerShell Core and Just Enough Administration concept. The last set of chapters will help you understand the management of a private and public cloud with PowerShell Core. You will also learn how to access web services and explore the high-performance scripting methods.By the end of this book, you will gain the skills to manage complex tasks effectively along with increasing the performance of your environment.
Aaron Guilmette, Yura Lee, Marcos Zanre
The MS-900 exam tests your understanding of Microsoft 365 services and components, along with their implementation, security, licensing, and general cloud concepts. This revised third edition helps you gain detailed actionable insights into the topics included in the latest syllabus, covering each topic according to its weight in the exam.You’ll begin by reviewing key cloud concepts, including cloud computing, services, and development models, and then explore different cloud architectures and learn what Microsoft offers as a service in the form of SaaS, IaaS, and PaaS. As you advance, you’ll get to grips with core Microsoft 365 components as well as the processes and tools used for managing Windows 10, Windows 11, and Microsoft 365 apps. This edition also includes expanded information on the Microsoft Viva Suite, formerly Workplace Analytics. The chapters shed light on security, compliance, privacy, and trust in Microsoft 365, and provide additional guidance regarding the pricing and support offered by Microsoft for different services and apps.By the end of this MS-900 book, you’ll have gained all the knowledge and skills needed to confidently appear for the exam.
Milo?° Radivojevifá, Dejan Sarka, William Durkin, Christian Cote, ...
Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks.By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence.This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojevi?, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al