Azure Serverless Computing Cookbook. Build and monitor Azure applications hosted on serverless architecture using Azure functions - Third Edition

Praveen Kumar Sreeram

This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications.With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a hello world example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in.By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently.

Microsoft 365 and SharePoint Online Cookbook. A complete guide to Microsoft Office 365 apps including SharePoint, Power Platform, Copilot and more - Second Edition

Gaurav Mahajan, Sudeep Ghatak, Nate Chamberlain, Scott Brewster, ...

Microsoft 365 offers tools for content management, communication, process automation, and report creation. Microsoft 365 and SharePoint Online Cookbook maximizes workplace collaboration and productivity using SharePoint Online, Teams, OneDrive, Delve, M365 Search, Copilot, Power Platform, Viva, Planner, and Microsoft Forms.You will find thoroughly updated recipes for SharePoint Online, covering sites, lists, libraries, pages, web parts, and learn SharePoint Framework (SPFx) basics for building solutions. You will explore many Microsoft Teams recipes to prepare it to be your organization’s central collaboration hub. You will be able to unlock Power Platform potential with recipes for Power Apps to enable low-code/no-code app development and learn to automate tasks with Power Automate and Power Automate Desktop. The book teaches you data visualization with Power BI, and chatbot creation with Power Virtual Agents (Copilot Studio). Finally, you will also learn about the cutting-edge Copilot and Gen AI functionality in Microsoft 365 and Power Platform. By the end, you will be equipped with skills to effectively use Microsoft 365, SharePoint Online, and the Power Platform.Whether it's enhancing career prospects or improving business operations, this book is a perfect companion on your journey through the Microsoft Office 365 suite.

Mastering Yii. Click here to enter text

Charles R. Portwood ll

The successor of Yii Framework 1.1, Yii 2 is a complete rewrite of Yii Framework, one of the most popular PHP 5 frameworks around for making modern web applications. The update embraces the best practices and protocols established with newer versions of PHP, while still maintaining the simple, fast, and extendable behavior found in its predecessor.This book has been written to enhance your skills and knowledge with Yii Framework 2. Starting with configuration and how to initialize new projects, you’ll learn how to configure, manage, and use every aspect of Yii2 from Gii, DAO, Query Builder, Active Record, and migrations, to asset manager. You'll also discover how to automatically test your code using codeception.With this book by your side, you’ll have all the skills you need to quickly create rich modern web and console applications with Yii 2.

Implementing OpenShift. The cloud is a liberating environment when you learn to master OpenShift. Follow this practical tutorial to develop and deploy applications in the cloud and use OpenShift for your own Platform-as-a-Service

Adam Miller

Gone are the days of having to provision hardware, deploy, and manage an entire environment just to write code for the next big idea, project, or custom web application. A Platform-as-a-Service cloud aims to fulfill this need, allowing developers to work more efficiently as well as allowing DevOps teams to spend less time fulfilling requests for these environments. Join us as we move into the future with OpenShift.Implementing OpenShift will walk the reader through how to easily develop and deploy upon an open source OpenShift Platform-as-a-Service. We will then discuss the architecture of the platform so that users have some insight into the inner workings of the environment. We will then take a step away from the user aspect and cover DevOps topics so that we can perform the deployment of our very own open source Platform-as-a-Service using the upstream OpenShift Origin code base.Developers are no longer in need of provisioning full-scale development environments by provisioning servers, installing and configuring software, and maintaining infrastructure just to write software. This book will show you how developers can move out of this archaic mindset and into the future utilizing OpenShift Platform-as-a-Service technologies, breaking away from the marketing jargon and into the technology that allows developers to get work done. This book also delves into the realm of DevOps, allowing you to run your own environment to support your development teams more efficiently.This book will show you how the OpenShift Platform-as-a-Service can redefine the way web application developers work by providing the building blocks upon which they are able to create their next big idea. From there, the reader will progress through the OpenShift architecture and on to a brisk automated deployment using DevOps technologies.You will learn everything you need to know in order to use OpenShift to develop and deploy applications in the cloud as well as how to deploy your very own OpenShift Origin-based Platform-as-a-Service cloud.

Learning Android Application Testing. Improve your Android applications through intensive testing and debugging

Paul Blundell, Paul Blundell, Eduardo Diego Torres Milano

Practical Maya Programming with Python. Unleash the power of Python in Maya and unlock your creativity

Robert Galanakis

Principles of Data Fabric. Become a data-driven organization by implementing Data Fabric solutions efficiently

Sonia Mezzetta

Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You’ll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you’ll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.

Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization

Julio Cesar Rodriguez Martino

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel.The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed.At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning.