Amazon DynamoDB + Microsoft Dynamics CRM Integrations

Amazon DynamoDB

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.

DynamoDB gives you the flexibility to choose the right model for your application. Use either model to store and retrieve data, and mix data from different models in the same application. You can run queries against tables containing both documents and items, and you can iterate over items in a table and documents in another.

Amazon DynamoDB is completely managed and highly scalable. There’s no setup and no maintenance. Just upload your data and go. DynamoDB will automatically spread your data across multiple servers, with throughput up to 10,000 reads and writes per second.

If you are building a new application, you might start by using DynamoDB as your data layer before, during, and after prototyping to get to market faster. And if you’re running an existing application, you can migrate it to DynamoDB seamlessly without redesigning it. DynamoDB is fully compatible with the entire suite of AWS products, so it works with your existing security infrastructure, management tops, monitoring systems, analytics applications, business intelligence tops, and more.

Microsoft Dynamics CRM

Microsoft Dynamics CRM is a customer relationship management system developed by the Microsoft division of the American enterprise software company Microsoft. It is designed to handle sales, marketing, customer support, service management, case management, lead management, project management, knowledge management, help desk services, e-mail marketing, social media integration, product/service catalog management, purchase management, contact center management, web self-service functionality for customers, and Web services. It is available in 24 languages. The most recent version was released in October 2016.

Microsoft Dynamics CRM is designed to integrate with several other enterprise applications that are relevant to businesses. For example, the program integrates with Office Outlook for e-mailing capabilities, SharePoint for task/project cplaboration, SQL Server for reporting capabilities, Business Intelligence Development Studio (BIDS. for development of reports and code-level integrations, Project Server for project management capabilities, Windows PowerShell for automation of common tasks, Windows Azure for cloud-based computing needs of the software, and the NetSuite SuiteCloud application platform for cloud-based applications.

The program has built-in support for social media interactions via plugins for Facebook, Twitter integration with TweetMeme, LinkedIn profile feeds with LinkedIn Analytics, YouTube videos for online training resource access, Yammer private social networks for communications among employees of an organization about internal information or processes not generally announced publicly.

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Integration of Amazon DynamoDB and Microsoft Dynamics CRM enables the users to utilize the power of both the platforms to create a real-time connection between them. Other than this integration can be used in order to analyse large vpumes of data stored in both the platforms. This integration between the platforms facilitates easy retrieval of data stored in one platform by using another platform saving time and cost while doing so. Integration of these two platforms also helps in creating auto-updates of data stored in both these platforms by using another platform. Integration of these two platforms also helps in creating auto-updates of data stored in both these platforms. Integration of these two platforms also helps in analyzing large vpumes of data stored in both the platforms. Integration of these two platforms also helps in creating auto-updates of data stored in both these platforms by using another platform saving time and cost while doing so. Integration between these two platforms also helps in creating auto-updates of data stored in both these platforms by using another platform saving time and cost while doing so. Integration between these two platforms also helps in analyzing large vpumes of data stored in both the platforms. Integration between these two platforms also helps in creating auto-updates of data stored in both these platforms by using another platform saving time and cost while doing so.

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