DAX Cookbook. Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

Greg Deckler

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.

Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition

Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu

Kubernetes is an open source orchestration platform to manage containers in a cluster environment. With Kubernetes, you can configure and deploy containerized applications easily. This book gives you a quick brush up on how Kubernetes works with containers, and an overview of main Kubernetes concepts, such as Pods, Deployments, Services and etc. This book explains how to create Kubernetes clusters and run applications with proper authentication and authorization configurations. With real-world recipes, you'll learn how to create high availability Kubernetes clusters on AWS, GCP and in on-premise datacenters with proper logging and monitoring setup. You'll also learn some useful tips about how to build a continuous delivery pipeline for your application. Upon completion of this book, you will be able to use Kubernetes in production and will have a better understanding of how to manage containers using Kubernetes.

Systems Engineering Demystified. Apply modern, model-based systems engineering techniques to build complex systems - Second Edition

Jon Holt, Tim Weilkiens

Systems engineering helps in developing and describing complex systems. Written by an internationally-recognized systems engineering expert, this updated edition provides insight into elements to consider when designing a complex system that is robust and successful.The latest edition covers the new approaches of Model-Based Systems Engineering (MBSE) and its deployment techniques using the Trinity approach. You will learn about the system engineering life cycle and processes to implement. Effective systems can be built only when the system is designed with close attention to detail, meaning each aspect of the system is recognized and understood before the system is built. The book explains in great detail, different system models and visualization techniques, with a focus on SysML, to help you visualize a system in the design phase. You will also learn various verification and validation techniques to ensure your system design is ready to be implemented. The book ends with key management processes, systems engineering best practices, and guidelines, with a new section on effective approaches based on the author’s impressive 30 years of experience in the field.By the end of this systems engineering book, you'll be able to apply modern model-based systems engineering techniques to your own systems and projects.

Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R

Rami Krispin

Time-series analysis is the art of extracting meaningful insights from, and revealing patterns in, time-series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series.This book explores the basics of time-series analysis with R and lays the foundation you need to build forecasting models. You will learn how to preprocess raw time-series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data using both descriptive statistics and rich data visualization tools in R including the TSstudio, plotly, and ggplot2 packages. The book then delves into traditional forecasting models such as time-series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also work on advanced time-series regression models with machine learning algorithms such as random forest and Gradient Boosting Machine using the h2o package.By the end of this book, you will have developed the skills necessary for exploring your data, identifying patterns, and building a forecasting model using various traditional and machine learning methods.

Node.js By Example. Learn to use Node.js by creating a fully functional social network

Krasimir Tsonev, Krasimir Stefanov Tsonev

Unreal Engine 5 Game Development with C++ Scripting. Become a professional game developer and create fully functional, high-quality games

ZHENYU GEORGE LI, Dr. E. Wyn Roberts

Unreal Engine is one of the most popular and accessible game engines in the industry, creating multiple job opportunities. Owing to C++ scripting's high performance, advanced algorithms, and engineering maintenance, it has become the industry standard for developing commercial games. However, C++ scripting can be overwhelming for anyone without a programming background. Unreal Engine 5 Game Development with C++ Scripting will help you master C++ and get a head start on your game development journey.You’ll start by creating an Unreal Engine C++ project from the shooter template and then move on to building the C++ project and the C++ code inside the Visual Studio editor. You’ll be introduced to the fundamental C++ syntax and essential object-oriented programming concepts. For a holistic understanding of game development, you’ll also uncover various aspects of the game, including character creation, player input and character control, gameplay, collision detection, UI, networking, and packaging a completed multiplayer game.By the end of this book, you’ll be well-equipped to create professional, high-quality games using Unreal Engine 5 with C++, and will have built a solid foundation for more advanced C++ programming and game development technologies.

ServiceStack 4 Cookbook. Over 70 recipes to create web services, build message-based apps, and work with object-relational mapping

Kyle Hodgson, Darren Reid

Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis

Ahmed Sherif

Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business.The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company.It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market.