Описание: Introducing Microsoft SQL Server 2019 takes you through what`s new in SQL Server 2019 and why it matters. After reading this book, you`ll be well placed to explore exactly how you can make MIcrosoft SQL Server 2019 work best for you.
Автор: Lakshmi, Vasantha Название: Beginning security with microsoft technologies ISBN: 148424852X ISBN-13(EAN): 9781484248522 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Secure and manage your Azure cloud infrastructure, Office 365, and SaaS-based applications and devices. This book focuses on security in the Azure cloud, covering aspects such as identity protection in Azure AD, network security, storage security, unified security management through Azure Security Center, and many more.Beginning Security with Microsoft Technologies begins with an introduction to some common security challenges and then discusses options for addressing them. You will learn about Office Advanced Threat Protection (ATP), the importance of device-level security, and about various products such as Device Guard, Intune, Windows Defender, and Credential Guard. As part of this discussion you’ll cover how secure boot can help an enterprise with pre-breach scenarios. Next, you will learn how to set up Office 365 to address phishing and spam, and you will gain an understanding of how to protect your company's Windows devices. Further, you will also work on enterprise-level protection, including how advanced threat analytics aids in protection at the enterprise level. Finally, you’ll see that there are a variety of ways in which you can protect your information. After reading this book you will be able to understand the security components involved in your infrastructure and apply methods to implement security solutions.What You Will LearnKeep corporate data and user identities safe and secure Identify various levels and stages of attacks Safeguard information using Azure Information Protection, MCAS, and Windows Information Protection, regardless of your locationUse advanced threat analytics, Azure Security Center, and Azure ATPWho This Book Is ForAdministrators who want to build secure infrastructure at multiple levels such as email security, device security, cloud infrastructure security, and more.
Автор: Soh, Julian Copeland, Marshall Puca, Anthony Harris, Micheleen Название: Microsoft azure ISBN: 1484259572 ISBN-13(EAN): 9781484259573 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
PART I Introducing Microsoft Azure
Ch 1. Microsoft Azure and Cloud Computing
Overview of Microsoft Azure services
Azure concepts
Availability Zones
Security, Compliance, and Privacy primer
Azure licensing and cost management concepts
Subscriptions
Ch 2. Overview of Azure Infrastructure-as-a-Service (IaaS) services
Azure Virtual Machines
Azure Networking
Hybrid data center design concepts (private-public cloud)
Hybrid data center operations and monitoring
IaaS security considerations
Ch 3. Overview of Azure Platform-as-a-Service
Azure Storage Accounts
Azure WebApps
Azure Database Services
Azure PaaS networking services
Azure Machine Learning and Cognitive Services
Azure Load Balancers
Azure Batch
Ch 4. Azure AppDev ServicesOverview
Azure DevOps and GitHub
Azure IaaS as code
Visual Studio
Containers - AKS
5. Ethical AI, Azure AI, and Machine Learning
Azure for the modern Data Engineers
Azure SQL Database
Azure SQL Managed Instance
Azure SQL Data Warehouse
Azure Cosmos DB
Azure Data Lake Service (gen 2)
Azure Data Factory v2
Cognitive Services
Artificial Intelligence and Machine Learning
PART II Planning and adopting Azure
6. Budgeting and cloud economics
Using assessment tools - Microsoft Movere
Understanding Cloud Economics - CapEx vs OpEx
Forecasting and other cost saving features Autoscaling Reserved Instances Service Level Agreement in LRS vs GRS
Azure Cost Mgmt and Billing
7. Designing a Hybrid Data Center
Networking considerations
PaaS Considerations
Identity and Access Management
Security and monitoring
8.Tools, training, and upskilling existing IT personnel
Available and required minimum training
Assembling the toolkit for the Cloud engineer
PowerShell ISE
Visual Studio Code
Azure Storage Explorer
ARM Templates
Hashicorp Terraform
Source control
Common Mistakes
PART III Using Azure for Infrastructure-as-a-Service (IaaS)
9. Implementing Azur networking
Designing and implementing Virtual Networks (vNets)
Implement microservices starting with their architecture and moving on to their deployment, manageability, security, and monitoring. This book focuses on the key scenarios where microservices architecture is preferred over a monolithic architecture.
Building Microservices Applications on Microsoft Azure begins with a survey of microservices architecture compared to monolithic architecture and covers microservices implementation in detail. You'll see the key scenarios where microservices architecture is preferred over a monolithic approach. From there, you will explore the critical components and various deployment options of microservices on platforms such as Microsoft Azure (public cloud) and Azure Stack (hybrid cloud). This includes in-depth coverage of developing, deploying, and monitoring microservices on containers and orchestrating with Azure Service Fabric and Azure Kubernetes Cluster (AKS).
This book includes practical experience from large-scale enterprise deployments, therefore it can be a quick reference for solution architects and developers to understand the critical factors while designing a microservices application.
What You Will Learn
Explore the use cases of microservices and monolithic architectureDiscover the architecture patterns to build scalable, agile, and secure microservices applicationsDevelop and deploy microservices using Azure Service Fabric and Azure Kubernetes Service Secure microservices using the gateway patternSee the deployment options for Microservices on Azure StackImplement database patterns to handle the complexities introduced by microservices
Who This Book Is For
Architects and consultants who work on Microsoft Azure and manage large-scale deployments.
Learn to develop bots with zero coding knowledge using the Azure Cognitive QnA Maker service, a GUI cognitive service from Microsoft. This book shows you how to integrate QnA Maker with the Azure Bot Service and Microsoft Bot Framework, along with how to integrate your bot with social channels such as Web Chat, and Telegram. You will learn what QnA Maker is, why you should use this service in enterprise settings, when you should use this service, and how you should use the service. Developing Bots with QnA Maker Service takes you through the QnA Maker FAQ knowledge base with Azure Bot Service, where you will discover how to get started with a web app bot using the Azure portal. This section culminates in deploying your bot on Azure Web App, making your bot live. Next, you will learn QnA Maker with the .NET Framework and Visual Studio 2017 along with ways to manage QnA Maker service post deployment. Finally, you will learn how to add media content including videos and images to the QnA Maker knowledge base. After reading this book you will be able to develop bots using the latest .NET Framework, Visual Studio 2017, and the Microsoft online code editor.
What You Will Learn
Customize QnA Maker default components, using the Azure portalWork with Microsoft Bot FrameworkDevelop and integrate FAQ bots with Azure Bot ServiceManage FAQ bots using the .NET Framework and the Azure portal
Who This Book Is For
Developers/architects with an interest in building chatbots.
Автор: Ambi Karthikeyan Название: Practical Microsoft Azure IaaS ISBN: 1484237625 ISBN-13(EAN): 9781484237625 Издательство: Springer Рейтинг: Цена: 7927.00 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.
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: Guay Paz, Jose Rolando Название: Microsoft azure cosmos db revealed ISBN: 1484233506 ISBN-13(EAN): 9781484233504 Издательство: Springer Рейтинг: Цена: 5487.00 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.
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