Data Modeling with Tableau. A practical guide to building data models using Tableau Prep and Tableau Desktop

Kirk Munroe

Tableau is unlike most other BI platforms that have a single data modeling tool and enterprise data model (for example, LookML from Google’s Looker). That doesn’t mean Tableau doesn’t have enterprise data governance; it is both robust and highly flexible. This book will help you effectively use Tableau governance models to build a data-driven organization.Data Modeling with Tableau is an extensive guide, complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. As you progress through the chapters, you’ll learn the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. You’ll also explore the components of Tableau Server and Tableau Cloud that make data modeling more robust, secure, and performant. Moreover, by extending data models for Ask and Explain Data, you’ll gain the knowledge required to extend analytics to more people in their organizations, leading to better data-driven decisions. Finally, this book will guide you through the entire Tableau stack and the techniques required to build the right level of governance into Tableau data models for the correct use cases.By the end of this Tableau book, you’ll have a firm understanding of how to leverage data modeling in Tableau to benefit your organization.

Django 2 Web Development Cookbook. 100 practical recipes on building scalable Python web apps with Django 2 - Third Edition

Jake Kronika, Aidas Bendoraitis

Django is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with setting up and configuring Docker containers and a virtual environment for your project.You'll learn how to write reusable pieces of code for your models and manage database changes. You'll work with forms and views to enter and list data, applying practical examples using templates and JavaScript together for the optimum user experience. This cookbook helps you to adjust the built-in Django administration to fit your needs and sharpen security and performance to make your web applications as robust, scalable, and dependable as possible. You'll also explore integration with Django CMS, the popular content management suite.In the final chapters, you'll learn programming and debugging tricks and discover how collecting data from different sources and providing it to others in various formats can be a breeze. By the end of the book, you'll learn how to test and deploy projects to a remote dedicated server and scale your application to meet user demands.

Social Media for Wordpress: Build Communities, Engage Members and Promote Your Site. A quicker way to build communities, engage members, and promote your site with this book and

Michael Kuhlmann

Mastering Ubuntu Server. Master the art of deploying, configuring, managing, and troubleshooting Ubuntu Server 18.04 - Second Edition

Jay LaCroix

Ubuntu Server has taken the data centers by storm. Whether you're deploying Ubuntu for a large-scale project or for a small office, it is a stable, customizable, and powerful Linux distribution that leads the way with innovative and cutting-edge features. For both simple and complex server deployments, Ubuntu's flexible nature can be easily adapted to meet to the needs of your organization. With this book as your guide, you will learn all about Ubuntu Server, from initial deployment to creating production-ready resources for your network. The book begins with the concept of user management, group management, and filesystem permissions. Continuing into managing storage volumes, you will learn how to format storage devices, utilize logical volume management, and monitor disk usage. Later, you will learn how to virtualize hosts and applications, which will cover setting up KVM/QEMU, as well as containerization with both Docker and LXD. As the book continues, you will learn how to automate configuration with Ansible, as well as take a look at writing scripts. Lastly, you will explore best practices and troubleshooting techniques when working with Ubuntu Server that are applicable to real-world scenarios. By the end of the book, you will be an expert Ubuntu Server administrator who is well-versed in its advanced concepts.

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce uncertainty and enable better planning of operations. Unlike traditional approaches to forecasting, deep learning can process large amounts of data and help derive complex patterns. Despite its increasing relevance, getting the most out of deep learning requires significant technical expertise.This book guides you through applying deep learning to time series data with the help of easy-to-follow code recipes. You’ll cover time series problems, such as forecasting, anomaly detection, and classification. This deep learning book will also show you how to solve these problems using different deep neural network architectures, including convolutional neural networks (CNNs) or transformers. As you progress, you’ll use PyTorch, a popular deep learning framework based on Python to build production-ready prediction solutions.By the end of this book, you'll have learned how to solve different time series tasks with deep learning using the PyTorch ecosystem.

Troubleshooting PostgreSQL. Intercept problems and challenges typically faced by PostgreSQL database administrators with the best troubleshooting techniques

Vasilis Ventirozos, Hans-Jürgen Schönig, kevin vicrey

YUI 2.8: Learning the Library. Develop your next-generation web applications with the YUI JavaScript development library

Dan Wellman, Daniel Barreiro, Daniel Osvaldo Barreiro

The YUI Library is a set of utilities and controls written in JavaScript for building Rich Internet Applications, across all major browsers and independently of any server technology. There's a lot of functionality baked into YUI, but getting to and understanding that functionality is not for the faint of heart. This book gives you a clear picture of YUI through a step-by-step approach, packed with lots of examples.YUI 2.8: Learning the Library covers all released (non-beta) components of the YUI 2.8 Library in detail with plenty of working examples, looking at the classes that make up each component and the properties and methods that can be used. It includes a series of practical examples to reinforce how each component should/can be used, showing its use to create complex, fully featured, cross-browser, Web 2.0 user interfaces. It has been updated from its first edition with the addition of several chapters covering several new controls and enriched with lots of experience of using them.You will learn to create a number of powerful JavaScript controls that can be used straightaway in your own applications. Besides giving you a deep understanding of the YUI library, this book will expand your knowledge of object-oriented JavaScript programming, as well as strengthen your understanding of the DOM and CSS. The final chapter describes many of the tools available to assist you the developer in debugging, maintaining, and ensuring the best quality in your code. In this new edition, all the examples have been updated to use the most recent coding practices and style and new ones added to cover newer components. Since the basic documentation for the library is available online, the focus is on providing insight and experience.The authors take the reader from beginner to advanced-level YUI usage and understanding.

A Developer's Guide to Building Resilient Cloud Applications with Azure. Deploy applications on serverless and event-driven architecture using a cloud database

Hamida Rebai Trabelsi, Lori Lalonde

To deliver software at a faster rate and reduced costs, companies with stable legacy systems and growing data volumes are trying to modernize their applications and accelerate innovation, but this is no easy matter. A Developer’s Guide to Building Resilient Cloud Applications with Azure helps you overcome these application modernization challenges to build secure and reliable cloud-based applications on Azure and connect them to databases with the help of easy-to-follow examples.The book begins with a basic definition of serverless and event-driven architecture and Database-as-a-Service, before moving on to an exploration of the different services in Azure, namely Azure APIManagement using the gateway pattern, event-driven architecture, Event Grid, Azure Event Hubs, Azure message queues, FaaS using Azure Functions, and the database-oriented cloud. Throughout the chapters, you’ll learn about creating, importing, and managing APIs and Service Fabric in Azure, and discover how to ensure continuous integration and deployment in Azure to fully automate the software delivery process, that is, the build and release process.By the end of this book, you’ll be able to build and deploy cloud-oriented applications using APIs, serverless, Service Fabric, Azure Functions, and Event Grid technologies.