RIAMS

  •        47

Rich Internet Application Management System. RIAMS is a Content Management System designed to be hosted on Windows Azure with offline administration applications for Win an Mac. RIAMS delivers HTML content and also loose XAML content for dynamic Silverlight and WPF applications.

http://riams.codeplex.com/

Tags
Implementation
License
Platform

   




Related Projects

azure-storage-go - Go SDK for using Azure Storage


NOTE: This repository is now deprecated and won't be available in the future. Its contents have been moved back to Azure SDK for Go. For more information, see this PR.The github.com/Azure/azure-sdk-for-go/storage package is used to perform REST operations against the Azure Storage Service. To manage your storage accounts (Azure Resource Manager / ARM), use the github.com/Azure/azure-sdk-for-go/arm/storage package. For your classic storage accounts (Azure Service Management / ASM), use github.com/Azure/azure-sdk-for-go/management/storageservice package.

Windows Azure Web Storage Explorer


Windows Azure Web Storage Explorer makes it easier for developers to browse and manage Blobs, Queues and Tables from Windows Azure Storage account. You'll no longer have to install a local client to do that. It's developed in C#.

blobxfer - Azure Storage transfer tool and data movement library


blobxfer is an advanced data movement tool and library for Azure Storage Blob and Files. With blobxfer you can copy your files into or out of Azure Storage with the CLI or integrate the blobxfer data movement library into your own Python scripts.Please refer to the installation guide for more information on how to install blobxfer.

Azure Storage Inspector


Azure Inspector is a web interface for managing your azure storage data. It allows you to works with Azure tables, blobs and queues.

ClouderaCMS


ClouderaCMS is an CMS web application which uses ASP.NET and Windows Azure.



azure-storage-net-data-movement - Azure Storage Data Movement Library for .Net


The Microsoft Azure Storage Data Movement Library designed for high-performance uploading, downloading and copying Azure Storage Blob and File. This library is based on the core data movement framework that powers AzCopy.For more information about the Azure Storage, please visit Microsoft Azure Storage Documentation.

Partitioned CloudQueue - Azure Storage Queue without scalability limits


PartitionedCloudQueue makes it easier for Azure Storage users to deal with scalability limitations of single Azure Queue (500 msgs per second per queue). You'll no longer have to implement custom partitioning if all you need is one infinitely-scalable Azure Storage queue.

azure-storage-node - Microsoft Azure Storage SDK for Node.js


This project provides a Node.js package and a browser compatible JavaScript Client Library that make it easy to consume and manage Microsoft Azure Storage Services.If you are looking for the Node.js SDK for other Azure services, visit https://github.com/Azure/azure-sdk-for-node.

EPiServer CMS Azure VPP


EPiServer CMS Windows Azure Virtual Path Provider. Used to store files in EPiServer CMS by leveraging Windows Azure blob storage functionality.

azure-storage-android - Microsoft Azure Storage Library for Android


This project provides a client library for Android that makes it easy to consume Microsoft Azure Storage services. For documentation please see the AndroidDocs.If you are looking for the Azure Storage Java SDK, please visit https://github.com/Azure/azure-storage-java.

azure-storage-cpp - Microsoft Azure Storage Client Library for C++


The Azure Storage Client Library for C++ allows you to build applications against Microsoft Azure Storage. For an overview of Azure Storage, see Introduction to Microsoft Azure Storage.For the best development experience, we recommend that developers use the official Microsoft NuGet packages for libraries. NuGet packages are regularly updated with new functionality and hotfixes. Download the NuGet Package.

azure-webjobs-sdk - Azure WebJobs SDK


The Azure WebJobs SDK is a framework that simplifies the task of writing background processing code that runs in Azure. The Azure WebJobs SDK includes a declarative binding and trigger system that works with Azure Storage Blobs, Queues and Tables as well as Service Bus. The binding system makes it incredibly easy to write code that reads or writes Azure Storage objects. The trigger system automatically invokes a function in your code whenever any new data is received in a queue or blob.In addition to the built in triggers/bindings, the WebJobs SDK is fully extensible, allowing new types of triggers/bindings to be created and plugged into the framework in a first class way. See Azure WebJobs SDK Extensions for details. Many useful extensions have already been created and can be used in your applications today. Extensions include a File trigger/binder, a Timer/Cron trigger, a WebHook HTTP trigger, as well as a SendGrid email binding.

Customer-Churn-Demo-MRS-Spark-HDI - This demo demonstrates how to use Microsoft R Server, Azure HDInsight with R on Linux, Azure Machine Learning, Spark, Scala, and Hive to build an end-to-end, cloud solution for Retail Customer Churn


This demo demonstrates how to use Microsoft R Server, Azure HDInsight with R on Linux, Azure Machine Learning, Spark, Scala, Hive, etc. to build an end-to-end, cloud solution for Retail Customer Churn. The demo attempts to simulate the real-world use case of data placement/storage, feature engineering, model retraining, prediction, and visualization.An Azure subscription: Before you begin, you must have an Azure subscription that have access to Azure HDInsight, Azure Blob Storage, etc. See Get Azure free trial for more information.

Azure Storage Explorer


Azure Storage Explorer is a useful GUI tool for inspecting the data in your Azure cloud storage projects including the logs of your cloud-hosted applications.

Automating SQL Azure Backup using Worker role


This tool is used for backup functionality on SQL Azure database and tables in a periodical timeline. The code can deployed as a Worker role with Azure or on-premise environment and the backup file can store in blob storage or a file system.

Azure Table Sync Lib


Developing custom sync providers for Windows Azure Table Storage to support the following sync scenarios 1. Azure Table <-> SQL Server 2. Azure Table <-> SQL CE 3. Azure Table <-> SQL Azure

azure-storage-net - Microsoft Azure Storage Libraries for .NET


The Microsoft Azure Storage SDK for .NET allows you to build Azure applications that take advantage of scalable cloud computing resources.This repository contains the open source subset of the .NET SDK. For documentation of the complete Azure SDK, please see the Microsoft Azure .NET Developer Center.

Mount VHD from Azure Storage In Azure VM


MountVHDAzureVM application will help Windows Azure users to mount a VHD in any Windows Azure VM outside Role. Windows Azure users can host a group of tools and contents in a VHD and store this VHD in Azure Storage. Using this application, Azure VM users, can mount this VHD.

cortana-intelligence-personalized-offers - Generate real-time personalized offers on a retail website to engage more closely with customers


In today’s highly competitive and connected environment, modern businesses can no longer survive with generic, static online content. Furthermore, marketing strategies using traditional tools are often expensive, hard to implement, and do not produce the desired return on investment. These systems often fail to take full advantage of the data collected to create a more personalized experience for the user. Surfacing offers that are customized for the user has become essential to build customer loyalty and remain profitable. On a retail website, customers desire intelligent systems which provide offers and content based on their unique interests and preferences. Today’s digital marketing teams can build this intelligence using the data generated from all types of user interactions. By analyzing massive amounts of data, marketers have the unique opportunity to deliver highly relevant and personalized offers to each user. However, building a reliable and scalable big data infrastructure, and developing sophisticated machine learning models that personalize to each user is not trivial.Cortana Intelligence provides advanced analytics tools through Microsoft Azure — data ingestion, data storage, data processing and advanced analytics components — all of the essential elements for building an demand forecasting for energy solution. This solution combines several Azure services to provide powerful advantages. Event Hubs collects real-time consumption data. Stream Analytics aggregates the streaming data and updates the data used in making personalized offers to the customer. Azure DocumentDB stores the customer, product and offer information. Azure Storage is used to manage the queues that simulate user interaction. Azure Functions are used as a coordinator for the user simulation and as the central portion of the solution for generating personalized offers. Azure Machine Learning implements and executes the product recommendations and when no user history is available Azure Redis Cache is used to provide pre-computed product recommendations for the customer. PowerBI visualizes the activity of the system with the data from DocumentDB.