Описание: Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.
This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines.
What You'll Learn
Understand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data
Who This Book Is For
Data engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
This chapter provides overview of exciting and relevant technical areas essential to professionals in the IoT industry. Chapter provides an introduction to Internet of Things (IoT) and covers the concepts, hardware, and platforms of an IoT solution available in the market.
Introduction
Building blocks
Design Principles
IoT Devices and Sensors
IoT Platforms
Industrial IoT
Chapter 2: Microsoft Azure IoT Platform 20
This chapter introduces with various offerings of Microsoft Azure IoT platform and its service offerings. Reader will learn various solution architecture suiting with different business needs, like single and bi-directional communication Architecture.
Introduction
IoT Services
Architect
Chapter 3: Streaming IoT data to Microsoft Azure 20
This chapter provides hands-on experience registering and configuring device, setting up IoT environment and invoking messages. Students will learn to stream data (ingesting the telemetry) from simulated device to IoT hub.
Manage IoT hub
Device registration
Stream structural data and non-structural data
Storing data
Lab - Using simulated device
Chapter 4: IoT Applications in Manufacturing 25
This chapter introduces possible real-time applications of IoT in Manufacturing business. Managers will learn How to run an IoT enabled Manufacturing business using Microsoft Azure. Developers will gain hands-on experience in Stream Analytics by analyzing stream of data in real-time using a SQL-like language. This makes it possible for monitor asset, detecting anomalies, checking conditions and displaying real-time data for preventive maintenance.
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.
Автор: Vinit Yadav Название: Processing Big Data with Azure HDInsight ISBN: 1484228685 ISBN-13(EAN): 9781484228685 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in Java, Scala or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, and code samples are written in .NET only.
Автор: Ambi Karthikeyan Название: Practical Microsoft Azure IaaS ISBN: 1484237625 ISBN-13(EAN): 9781484237625 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Adopt Azure IaaS and migrate your on-premise infrastructure partially or fully to Azure. This book provides practical solutions by following Microsoft’s design and best practice guidelines for building highly available, scalable, and secure solution stacks using Microsoft Azure IaaS.
The author starts by giving an overview of Azure IaaS and its components: you’ll see the new aspects of Azure Resource Manager, storage in IaaS, and Azure networking. As such, you’ll cover design considerations for migration and implementation of infrastructure services, giving you practical skills to apply to your own projects.
The next part of the book takes you through the different components of Azure IaaS that need to be included in a resilient architecture and how to set up a highly available infrastructure in Azure. The author focuses on the tools available for Azure IaaS automated provisioning and the different performance monitoring and fine-tuning options available for the platform. Finally, you’ll gain practical skills in Azure security and implementing Azure architectures.
After reading Practical Microsoft Azure IaaS, you will have learned how to map the familiar on-premise architecture components to their cloud infrastructure counterparts. This book provides a focused and practical approach to designing solutions to be hosted in Azure IaaS.
What You Will Learn
Map the key Azure components to familiar concepts in infrastructure, such as virtualization, storage provisioning, switching, and firewallsImplement Azure IaaS deployment architectures Design IaaS environments in line with the Microsoft recommended best practices for scalability, resiliency, availability, performance, and securityManage the operational aspects of hosted environments, leverage automation, and fine tune for optimal performance
Who This Book Is For
Infrastructure and solution architects with skills in on-premise infrastructure design who want to up-skill in Azure IaaS.
Автор: Guay Paz, Jose Rolando Название: Microsoft azure cosmos db revealed ISBN: 1484233506 ISBN-13(EAN): 9781484233504 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn the main features of Azure Cosmos DB and how to use Microsoft’s multi-model database service as a data store for mission-critical applications. The clear examples help in writing your own applications to take advantage of Cosmos DB’s multi-model, globally distributed, elastic database. Simple step-by-step instructions show how to resolve common and uncommon scenarios involving Azure Cosmos DB, and scenarios such as delivering extremely low response times (in the order of milliseconds), and scaling rapidly and globally.
Microsoft Azure Cosmos DB Revealed demonstrates a multitude of possible implementations to get you started. This book guides you toward best practices to get the most out of Microsoft’s Cosmos DB service. Later chapters in the book cover advanced implementation features, helping you master important elements such as securing the database, querying, and using various APIs.
What You'll Learn
Set up a development environment to work with Azure Cosmos DBConfigure Azure Cosmos DB in a production environment with multi-region distributionQuery using all APIs, including SQL, JavaScript, MongoDB, and GraphWork with the Azure Cosmos DB.NET SDK in an application you builtAccess Cosmos DB from web applications created in .NET
Who This Book Is For
Developers who build applications to be hosted in Microsoft Azure, whether they use PaaS or IaaS. No previous knowledge of Azure Cosmos DB is assumed, but readers must be familiar with developing applications in Microsoft Visual Studio.
Автор: Chaminda Chandrasekara; Pushpa Herath Название: Hands-on Azure Boards ISBN: 1484250451 ISBN-13(EAN): 9781484250457 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Understand and explore the features and management of Azure Boards with this book, which also covers Azure Boards configuration and advanced administration. This book starts by setting up projects with Azure DevOps and gives an overview of Azure Boards and its features. You will then learn to set up team projects and how to effectively use Azure Boards to plan and execute work.
Hands-on Azure Boards explains customizations, where you will understand the available options to track your work considering different scenarios. Next, you will learn visualizing with queries, charts, and dashboards along with reporting of Azure Boards. The author gives you hands-on lessons to set up Azure Boards and shows you how to handle multiple modules that are taken care of by different teams.
You will also explore the security options in Azure Boards as well as a detailed demonstration of working with the REST API and CLI. Finally, you will work with useful extensions for Azure Boards and see how to use them more effectively and efficiently. After reading this book, you will be able to work with the Azure Boards capabilities available in Azure DevOps on-premise server and services to improve your software delivery process.
What You Will Learn
Plan and manage work with Azure BoardsUse the REST API and command line interface with Azure BoardsExtend Azure Boards with useful extensions to enhance its capabilities Customize Azure Boards to adapt it to your processReport and visualize work progress with Azure Boards
Who This Book Is For
Anyone working in Azure DevOps developing applications targeting any platform using any language.
Автор: Salvaris, Mathew, Dean, Danielle, Tok, Clark Название: Deep Learning with Azure ISBN: 1484236785 ISBN-13(EAN): 9781484236789 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.
Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI?
Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI.
What You'll Learn
Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AIUse pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more)Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolvingDiscover the options for training and operationalizing deep learning models on Azure
Who This Book Is For
Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.
Автор: Jeffrey Palermo Название: .NET DevOps for Azure ISBN: 1484253426 ISBN-13(EAN): 9781484253427 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Use this book as your one-stop shop for architecting a world-class DevOps environment with Microsoft technologies..NET DevOps for Azure is a synthesis of practices, tools, and process that, together, can equip a software organization to move fast and deliver the highest quality software. The book begins by discussing the most common challenges faced by developers in DevOps today and offers options and proven solutions on how to implement DevOps for your team.Daily, millions of developers use .NET to build and operate mission-critical software systems for organizations around the world. While the marketplace has scores of information about the technology, it is completely up to you to put together all the blocks in the right way for your environment.
This book provides you with a model to build on. The relevant principles are covered first along with how to implement that part of the environment. And while variances in tools, language, or requirements will change the needed implementation, the DevOps model is the architecture for the working environment for your team. You can modify parts of the model to customize it to your enterprise, but the architecture will enable all of your teams and applications to accelerate in performance.
What You Will LearnGet your .NET applications into a DevOps environment in AzureAnalyze and address the part of your DevOps process that causes delays or bottlenecksTrack code using Azure Repos and conduct acceptance testsApply the rules for segmenting applications into Git repositoriesUnderstand the different types of builds and when to use eachKnow how to think about code validation in your DevOps environmentProvision and configure environments; deploy release candidates across the environments in AzureMonitor and support software that has been deployed to a production environmentWho This Book Is For.NET Developers who are using or want to use DevOps in Azure but don’t know where to begin
Автор: Nickel Jochen Название: Mastering Identity and Access Management with Microsoft Azure ISBN: 1785889443 ISBN-13(EAN): 9781785889448 Издательство: Неизвестно Рейтинг: Цена: 12137.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Waghmare, Charles Название: Introducing azure bot service ISBN: 1484248872 ISBN-13(EAN): 9781484248874 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Azure Chatbots - An Introduction
Chapter Goal: To make reader understand what is Azure Chatbots, what are its features and how do we make benefit our of it
No of pages 25
Sub -Topics
1. Introduction - Artificial Intelligence
2. Introducing - Azure and Azure Chatbots
3. How do use Azure Chatbots
Chapter 2: Design and implement Azure Chatbots
Chapter Goal: Describe details of designing and implementing Azure Chatbot
No of pages: 20
Sub - Topics
1. Necessary requirements for creating Chatbots using Azure
2. Introducing Microsoft Bot Framework
3. Describe working of Azure Chatbot
4. Implementation using live example
Chapter 3: Manage messages in Chatbots application Chapter Goal: Create messages to engage users
No of pages: 20
Sub - Topics:
1. Send Welcome message to users
2. Add text and audio message
3. Create prompts
4. Create integrated set of dialogues
5. Use dialogue to manage complex conversation
Chapter 4: Deploy Azure Chatbots in different business scenarios
Chapter Goal: Describe business scenarios in which chatbots will add benefits
No of pages: 25
Sub - Topics:
1. Describe business challenges
2.Implement chatbots to fix business challenges
3. Describe benefits
4. Describe end user experience
Chapter 5: Integration or Injection of Azure Chatbots with different application
Chapter Goal: Explain how chatbots can be deployed or injected into internal application or external application,
No of pages: 20
Sub - Topics:
1. How to Integrate Chatbot with internal and external websites sites
2. Integrate Chatbots with application such as Facebook, Twitter and others
Chapter 6: Demonstrate business benefits of using Azure Chatbots
Chapter Goal: Explains measures to derive business benefits of azure chatbots
No of pages: 20
Sub - Topics:
1. Describe advantages and disadvantages
2. Describe measures for benefits
Chapter 7: Create and use reusable solutions using Chatbots
Chapter Goal: Describe how reusable solutions can be created and reused
No of pages: 20
Sub - Topics:
1. How reusable solutions can reused and created in Incident Management process
2. How Expert Connect program can created using Chatbots
3. Automate process
4. Eliminate duplicate tasks
Chapter 8: Create Digital Transformation Chapter Goal: Create digital experience by enhancing Customer experience
No of pages: 15
Sub - Topics:
1. Improve customer satisfaction
2. Create new selling opportunity for customer
3. Develop insights by analyzing customer behavior
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