Azure Internet of Things Revealed, Robert Stackowiak
Автор: Guay Paz, Jose Rolando Название: Microsoft azure cosmos db revealed ISBN: 1484233506 ISBN-13(EAN): 9781484233504 Издательство: Springer Рейтинг: Цена: 41920.00 T 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: Buchanan Steve, Rangama Janaka, Bellavance Ned Название: Introducing Azure Kubernetes Service: A Practical Guide to Container Orchestration ISBN: 1484255186 ISBN-13(EAN): 9781484255186 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Beginning-Intermediate user level
Автор: Diaz Francesco, Freato Roberto Название: Cloud Data Design, Orchestration, and Management Using Microsoft Azure: Master and Design a Solution Leveraging the Azure Data Platform ISBN: 1484236149 ISBN-13(EAN): 9781484236147 Издательство: Springer Рейтинг: Цена: 60550.00 T 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.
Автор: Sawhney Rahul Название: Beginning Azure Functions: Building Scalable and Serverless Apps ISBN: 1484244435 ISBN-13(EAN): 9781484244432 Издательство: Springer Рейтинг: Цена: 26080.00 T Наличие на складе: Невозможна поставка. Описание: Chapter 1: Introduction to Azure Functions
Chapter Goal: Introduction to book and topics to be covered
Chapter Goal: This chapter covers the basic of Azure Function and takes audience through creating their first Azure Function
No of pages: 10 - 20
Sub - Topics
1. Creating Azure Function Using Azure Portal
2. Creating Azure Function Using Visual Studio
3. Azure Function File Hierarchy, Configuration & Settings
Chapter 3: Understanding Azure Functions Triggers And Bindings
Chapter Goal: To understand triggers and bindings in Azure Function
No of pages: 15-20
Sub - Topics:
1. Overview of Trigger and Bindings
2. Creating a Blob Storage Triggered Azure Function
3. Creating a Azure Function Triggered by Timer
Chapter 4: Serverless API Using Azure Function
Chapter Goal: This chapter takes audience through creating Serverless API's and also, migrating existing application to Azure Function
No of pages: 30-40
Sub - Topics:
1. How Azure Function Can Help You Convert Monolithic Applications to Highly Scalable API's.
2. Creating Http Triggered Azure Function.
3. Overview of Proxies in Azure Function
4. Creating an OpenAPI definition for others to consume API
Chapter 5: Azure Durable Functions for statefulness
Chapter Goal: This chapter covers Durable Functions in Azure
No of pages: 40-50
Sub - Topics:
1. Overview Of Durable Function
2. Bindings for Durable Function
3. Managing Instances in Durable Functions
4. Error Handling in Durable Functions
5. Performance, Scalability & Versioning in Durable Functions
6. Disaster Recovery & Geo-Distribution of Durable Functions
Chapter 6: Deploying Azure Function
Chapter Goal: This chapter takes you through the deployment process of Azure Function
No of pages: 10-20
Sub - Topics:
1. Deploying Azure Function Using Continuous Deployment
2. Deploying Azure Function Using ARM Templates
3. Testing Azure Function.
Chapter 7: Monitoring Azure Function in Production
Chapter Goal: To understand how to monitor Azure Functions in Production
No of pages: 20-30
Sub - Topics:
1. How to Monitor Azure Function?
2. Remote Debugging Azure Function
3. Referencing Nuget Packages
4. Securing Azure Function
5. Configuring CORS for Azure Function
Автор: Rawat Sudhir, Narain Abhishek Название: Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions ISBN: 1484241215 ISBN-13(EAN): 9781484241219 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Waghmare, Charles Название: Introducing azure bot service ISBN: 1484248872 ISBN-13(EAN): 9781484248874 Издательство: Springer Рейтинг: Цена: 41920.00 T 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
Автор: Salvaris, Mathew, Dean, Danielle, Tok, Clark Название: Deep Learning with Azure ISBN: 1484236785 ISBN-13(EAN): 9781484236789 Издательство: Springer Рейтинг: Цена: 60550.00 T 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: Shah Parashar, Abraham Thomas K., Lehman Lauri Название: Hands-On Machine Learning with Azure ISBN: 1789131952 ISBN-13(EAN): 9781789131956 Издательство: Неизвестно Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.
Автор: Jensen David Название: Beginning Azure Iot Edge Computing: Extending the Cloud to the Intelligent Edge ISBN: 1484245350 ISBN-13(EAN): 9781484245354 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Machiraju Название: DevOps for Azure Applications ISBN: 1484236424 ISBN-13(EAN): 9781484236420 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Chapter 1: DevOps for Azure
Chapter Goal:
Traditionally, software development life cycle warranted siloed teams taking on specific tasks, i.e., Development Team and Operations Team wherein the Developers were responsible for writing code, checking in the source code into source control, testing the code, QA of the code and staging. The Operations/Production team was responsible for deploying the code to servers and thereafter coordinating with the customers and providing feedback to developers. Such siloed efforts were mostly manual processes with a small degree of siloed Application/Software deployment process. This manual process had several drawbacks and some of them are as follows:
No of pages 13
Chapter 01: DevOps for Azure ........................................................ 9-16
Need for DevOps ..................................................................................... 9
Describing the Functions of DevOps ..................................................... 10
Chapter 2: Deployment via TeamCity and Octopus Deploy
Chapter Goal:
As discussed in the earlier chapter, an application deployment in DevOps requires a Continuous Integration (CI) tool and Continuous Delivery (CD) tool/release management software to automate the entire process. Currently, there are several such tools available in the market. In this chapter, we will use TeamCity as a CI tool and Octopus Deploy as a release management and CD software to get our package deployed on Azure Web Application.
No of pages 28
Chapter 02: Deployment via TeamCity and Octopus Deploy .... 17-44
Introduction to Microsoft Public Cloud, Azure ..................................... 17
In the earlier chapter, we learned the process of deploying Applications to Azure through different on-premise tools. We used TeamCity as CI tool and Octopus Deploy as CD tool. The major problem with the earlier solution was that there was need of separate tools to deploy Applications. VSTS is a collaborative solution that takes care of the entire software deployment lifecycle from creating packages to deploying the Application. In this chapter, we will go through the entire process of Application deployment to Azure using VSTS.
No of pages
Автор: Rob Reagan Название: Web Applications on Azure ISBN: 1484229754 ISBN-13(EAN): 9781484229750 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Build .NET apps on Microsoft Azure services that can grow to Internet scale. Learn how you can make smart application architecture decisions and follow best practices so that your website can handle tens of thousands of concurrent users and deliver your content globally.
Author Rob Reagan takes you through key Azure technologies targeted toward building web applications, and along the way shares his lessons learned in scaling out a real-world web application. After an overview of web application building blocks, the book dives into relational and NoSQL data storage options on Azure, including Azure Table Storage and CosmosDB. You'll then discover how to make best use of Redis Cache, Web Jobs, Messaging Queues, and more, alongside other tips, tricks, and troubleshooting advice for when things go wrong. The book concludes with a thorough exploration of best practices for deployment at scale.
What You'll Learn
Develop scalable architecture patterns on Azure with ASP.NET MVC
Understand the pros and cons of using SQL Azure vs. NoSQL solutions (Azure Tables, CosmosDB)
Perform data migration, backup, and recovery in SQL Azure
Use effective caching
Troubleshoot your web applications
Know best practices for deployment
Who This Book Is For Professional developers or serious hobbyists with experience developing web applications with ASP.NET MVC or Web API
Автор: Chakraborty Bapi, Ambi Karthikeyan Shijimol Название: Understanding Azure Monitoring: Includes Iaas and Paas Scenarios ISBN: 1484251296 ISBN-13(EAN): 9781484251294 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Chapter 1: The Ever Changing Landscape of the Cloud Chapter Goal: In this chapter we will quickly touch upon how the public cloud computing changing the operational aspects of the modern enterprise -Those who have adopted, those who are born in the cloud and those who are still strategizing and identifying what works for them and what doesn't. In each case they need to identify how things change to be in a fully functional operationalization state. No of pages:12
Sub -Topics
1. The traditional and the new
2. An architect's challenge
3. Achieving Operational efficiency
4. Key Architectural Constructs
Chapter 2: The Scenarios and the Tools
Chapter Goal: Focus on the various scenarios that includes muti, hybrid, health, SLA, resource monitoring etc. and the Azure tools that enables them
No of pages: 30
Sub - Topics
1. Introducing Azure Monitoring and diagnostics platform
2. SLA
3. Auditing & Compliance
4. Security
5. Availability
6. Performance
7. Usage
8. Health
Chapter 3: The Big Picture with Hybrid and Multi-Cloud Strategy
Chapter Goal: Which tools are out there and how they fit into your monitoring and operational strategy; Integration with On-premises SIEM systems. This will cover the importance of choosing the right remediation techniques as well as information on configuring Alerts. It will also cover the best practices to be followed in Azure Monitoring configuration
No of pages: 20
Sub - Topics:
1. Integration study of IaaS, PaaS and SaaS worlds
2. Hybrid cloud monitoring
3. Multi cloud monitoring
Chapter 4: Scenario Based Examples: Cloud Only
Chapter Goal: Discuss various ways to monitor the workloads and take remediation measures to predict and respond to failures
No of pages: 43
Sub - Topics:
1. Design and implementation reference guide
2. Monitoring a simple WebApplication on Azure
3. Monitoring multi region Web Application
4. Monitor for failure of a cloud only application
5. Application that includes PaaS and IaaS services
Chapter 5: Scenario Based Examples: Hybrid Applications and Systems
Chapter Goal: Discuss various ways to monitor the workloads and take remediation measures to predict and respond to failures
No of pages: 30
Sub - Topics:
1. Monitoring an application with SCOM integration
2. Monitoring failure of a hybrid application
3. Azure Monitor integration with On-premises SIEM systems
4. Identity logging, reporting and Analytics
Chapter 6: Accepting Continuous Changes and Capabilities
Chapter Goal: This chapter will explore the importance of monitoring in DevOps culture, upcoming capabilities and im
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