Описание: Use a step-by-step process to create and deploy your first Azure IoT Edge solution.Modern day developers and architects in today’s cloud-focused world must understand when it makes sense to leverage the cloud. Computing on the edge is a new paradigm for most people. The Azure IoT Edge platform uses many existing technologies that may be familiar to developers, but understanding how to leverage those technologies in an edge computing scenario can be challenging.Beginning Azure IoT Edge Computing demystifies computing on the edge and explains, through concrete examples and exercises, how and when to leverage the power of intelligent edge computing. It introduces the possibilities of intelligent edge computing using the Azure IoT Edge platform, and guides you through hands-on exercises to make edge computing approachable, understandable, and highly useful.Through user-friendlydiscussion you will not only understand how to build edge solutions, but also when to build them. By explaining some common solution patterns, the decision on when to use the cloud and when to avoid the cloud will become much clearer.What You'll LearnCreate and deploy Azure IoT Edge solutionsRecognize when to leverage the intelligent edge pattern and when to avoid itLeverage the available developer tooling to develop and debug IoT Edge solutionsKnow which off-the-shelf edge computing modules are availableBecome familiar with some of the lesser-known device protocols used in conjunction with edge computingUnderstand how to securely deploy and bootstrap an IoT Edge deviceExplore related topics such as containers and secure device provisioning
Who This Book Is For
Developers or architects who want to understand edge computing and when and where to use it. Readers should be familiar with C# or Python and have a high-level understanding of the Azure IoT platform.
Описание: Edge analytics brings intelligence to the sensory side of IoT applications. This is a comprehensive introduction for those who are new to edge analytics, that will have you up-to-speed in no time. You will learn to design modern edge analytics applications that take advantage of the processing power of single board computers and microcontrollers.
Описание: With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premise. You`ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with using ADF as the main ETL and orchestration tool for your data warehouse or data platform project.
Автор: Freato Roberto, Parenzan Marco Название: Mastering Cloud Development using Microsoft Azure ISBN: 1782173331 ISBN-13(EAN): 9781782173335 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Overview of data architecture on Microsoft Azure Introduction Technologies: everyone touched in the book plus some other edge technologies just mentioned. We explain the scenarios of the book.This chapter will be written during the whole process, updating it with the relevant content of the scenarios developed in the chapters. 2 Working with Relational DBs on Azure Relational DBs scenarios Technologies: VMs, Backup, Storage, SQL Server DR and GEO-DR, (Oracle, MySQL)We would like to cover the best practices to deploy standard RDBMSs while using Azure VMs and networking. 3 Working with Azure SQL Database Azure DB scenarios Technologies: Azure SQL DB, Stretch DB, Database Pools, Sharding data, Migration from other RDBMSs to Azure SQL DBThis chapter is about the SQL Database PaaS, with some tricks for advanced usage. We cover the services and the connected services, how to scale with relational DBs and how to write multi-tenant applications. 4 Working with NoSQL alternatives NoSQL scenarios Technologies: Storage, DocumentDB, Redis, Azure SearchThis chapter enforces the polyglot persistence idea, where different technologies and data sources address different needs. The NoSQL alternatives can fill the gap of modern applications in terms of performance and feature set. 5 Orchestrate data with Azure Data Factory Integration scenarios Technologies: Azure Data FactoryIn this chapter we talk about integration of different data sources and advanced pipelines of data transformation. We explore some scenarios to lower the complexity of the Data Factory service and we see how to setup existing solutions to fit it. 6 Advanced analysis with Azure Data Lake Analysis scenarios Technologies: Data Lake Store/Analytics, U-SQLThis is the first chapter about ingestion of big data. This is focused on ingestion of native data, to be prepared, enriched and evaluated/analyzed in a second step. 7 Real-time Ingestion, Processing and Prediction Real-time scenarios Technologies: Machine Learning, Stream Analytics, Event HubThis is instead focused in ingestion of well-known and structured data with the aim to process it in real-time. In addition a step of prediction is added to react (in real time too) to certain events. 8 Working with Big Data with Azure Batch and Map/Reduce Big data scenarios Technologies: HDInsight, Hadoop, Spark, R Server, Storm, Azure BatchThis is the last chapter about Big Data, exploring the industry standard to perform data operations, while executing those engines on Azure. 9 APPENDIX (tbd yet, adding some of the topics below to one of the other chapter still has to be defined) Other Technologies: Azure Analysis Services (chapter 3?), Power BI (chapter 6?), Azure SQL DataWarehouse (chapter 6?), Azure Data Catalog (chapter 5?)Those technologies should fit the existing chapters, but we do not know where they best fit at the time being.
Описание: With cloud providers running servers and managing machine resources, companies now can focus solely on the application`s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.
Автор: Bass, Daniel Название: Beginning serverless architectures with microsoft azure ISBN: 1789537045 ISBN-13(EAN): 9781789537048 Издательство: Неизвестно Рейтинг: Цена: 3125.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many businesses are rapidly adopting a microservices-first approach to development, driven by the availability of new commercial services like Azure Functions and AWS Lambda. In this book, we`ll show you how to quickly get up and running with your own serverless development on Microsoft Azure. We start by working through a single function, and ...
Автор: Michalski Oliver, Demiliani Stefano Название: Implementing Azure Cloud Design Patterns ISBN: 1788393368 ISBN-13(EAN): 9781788393362 Издательство: Неизвестно Рейтинг: Цена: 8091.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help ...
Описание: Digital transformation is leading to major changes for businesses. This book explains how a digital operating model (DOM) provides the agility required by the business and the control necessary for effective IT.
Автор: Stuart Preston Название: Using Chef with Microsoft Azure ISBN: 1484214773 ISBN-13(EAN): 9781484214770 Издательство: Springer Рейтинг: Цена: 4186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "The expert`s voice in automation"--Cover.
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