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  • Microsoft_Press_ebook_Introducing_Microsoft_SQL_Server_2014_PDF.pdf

    Microsoft SQL Server 2014 is the next generation of Microsoft’s information plat form, with new features that deliver faster performance, expand capabilities in the - cloud, and provide powerful business insights. In this book, we explain how SQL Server 2014 incorporates in-memory technology to boost performance in online transactional processing (OLTP) and data-warehouse solutions. We also describe how it eases the transition from on-premises solutions to the cloud with added support for hybrid environments. SQL Server 2014 continues to include components that support analysis, although no major new features for business intelligence were included in this release. However, several advances of note have been made in related technologies such as Microsoft Excel 2013, Power BI for Office 365, HDInsight, and PolyBase, and we describe these advances in this book as well.

  • Microsoft_Press_eBook_Building_Cloud_Apps_with Microsoft_Azure_PDF.pdf

    Microsoft_Press_eBook_Building_Cloud_Apps_with Microsoft_Azure_PDF.pdf

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    Microsoft Azure Machine Learning (ML) is a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. Azure ML Studio provides rich functionality to support many end-to-end workflow scenarios for constructing predictive models, from easy access to common data sources, rich data exploration and visualization tools, application of popular ML algorithms, and powerful model evaluation, experimentation, and web publication tooling. This ebook will present an overview of modern data science theory and principles, the associated workflow, and then cover some of the more common machine learning algorithms in use today. We will build a variety of predictive analytics models using real world data, evaluate several different machine learning algorithms and modeling strategies, and then deploy the finished models as machine learning web service on Azure within a matter of minutes. The book will also expand on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. The scenarios and end-to-end examples in this book are intended to provide sufficient information for you to quickly begin leveraging the capabilities of Azure ML Studio and then easily extend the sample scenarios to create your own powerful predictive analytic experiments. The book wraps up by providing details on how to apply “continuous learning” techniques to programmatically “retrain” Azure ML predictive models without any human intervention.

  • 微软程序架构指南 Microsoft Application Architecture Guide

    微软程序架构指南 Microsoft Application Architecture Guide This guide is not a step-by-step tutorial for application architecture and design, but rather an overview and a reference. The guide is divided into four main sections, each containing a number of chapters: l The first section of the guide, “Software Architecture and Design,” provides a summary of the underlying principles and patterns that provide the foundation for good application architecture and design and a suggested approach for creating your architecture design. If you are using the guide to learn about the fundamentals of application architecture, start with this section and then work through the remaining parts to learn about layered design, components, quality attributes, crosscutting concerns, communication, deployment, and common application types. l The second section of the guide, “Design Fundamentals,” provides generally applicable guidance for designing a solution’s layers, components, and services; and guidance on addressing quality attributes and crosscutting concerns. It also covers communication and deployment topics. If you want to learn about the layered approach to application architecture and design, or the design of specific components and services, start with this section and then explore the following sections to see how to take account of quality attributes and how to design a physical deployment strategy. Introduction xxix l The third section of the guide, “Application Archetypes,” provides specific guidance on the architecture and design of typical application types, such as Web, RIA, rich client, mobile, and services applications. If you have some prior experience with application architecture and design and want to learn about the architecture and major design features of common types of application and the specific guidance for each type, start with this section and then use the remaining sections to expand and verify your knowledge. l Finally, the Appendices provide an overview of the Microsoft platform and .NET Framework technologies and their capabilities. This section also provides a summary of common design patterns, and references to additional resources and materials. If you are new to the .NET Framework, or want to learn about the technologies available on the Microsoft platform, use this section to get an overview of the .NET Framework and platform services, see the major technology matrices, and read descriptions of patterns & practices assets such as Enterprise Library and the patterns & practices design pattern library. Depending on your experience and requirements, you can refer directly to the specific section(s) that best address your needs. Alternatively, if you are looking for an extensive overview of design and architecture on the Microsoft platform and the .NET Framework, you can read the guide from start to finish. It will help you to understand the architecture and design approach. You can work the guidance into your application development life cycle and processes, and use it as a training tool.

  • Cloud Design Patterns Book

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  • Jersey 2.17 User Guide pdf

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  • Orbacus JOB-4.3.4 source

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