Microsoft Azure Batch Computing provides a variety of tools that allow you to manage big data. These tools integrate well with the Microsoft Information Store for fast, real-time analytics on a wide variety of topics. The following discussion provides an overview of Microsoft Batch computing and its various tools. This overview is also applicable to Microsoft Dynamics GP.
Microsoft Azure Big Data Services are software solutions that use the Microsoft cloud computing platform to help companies manage large data sets. Microsoft Azure Data Lake Analytics is an easy-to-use query service for large data from Microsoft’s public cloud servers. The service enables users to quickly analyze Big Data Hadopp Certification in Singapore from the cloud to gain quick insights and automatically optimize resources for maximum productivity.
Users can run custom queries on the internet or within the data factory to build analytical pipelines and evaluate complex business processes. To make the most out of the capabilities of the data factory, it must be converted to a Microsoft SQL Server stored procedure and then stored on the Dynamics GP server, so that it can be executed anywhere that an SQL server is available.
Big Data Services:
As more organizations begin to use cloud services, the need for reliable and efficient big data services is on the rise as well. While traditional web analytics solutions have been proven to be effective in evaluation of new business opportunities, the days are quickly approaching when organizations will need to make the transition to using hosted solutions that will provide them with true big data value. With Microsoft Azure Big Data this is now possible, and Microsoft has developed tools to make this possible.
Microsoft Dynamics GP Data Factory is the first in a series of Microsoft Dynamics GP tooling that allows users to rapidly visualize and manage big-data analytics solutions via the internet. The new data factory is designed to work as a fully functional and flexible data warehouse, with capabilities for both in-built as well as third party analytical processing.
One of the biggest concerns for most organizations is finding a way to get the most from their analytics solutions without having to invest significant amounts of time and money into custom development.
Microsoft Azure Data Visualization for example, offers businesses a way to visualize quickly and easily, analyze and visualize bigdata using the company’s extensive set of Data Visualization tools. Organizations no longer must worry about whether they can handle the big data demands that are on their plate. By leveraging on Microsoft tools such as Azure Cloud, they can ensure that their data is as efficient and effective as it can be.
Another important capability of the data analytics solutions built by Microsoft Azure is the ability to collaborate with external third-party firms and partners. This collaboration is done effortlessly using the Visual Studio tooling and can help to speed up collaboration and bring companies together in ways they never could before.
Imagine if you oversaw developing a new advertisement for a major client. The ad would not just be a flat sheet of text, but it would also have complex algorithms and business logic baked into it. But when you have the power of the Microsoft cloud in your cloud server, all these issues become a thing of the past.
Real Time Analytics:
Real-time analytics is one of the major reasons why more organizations are turning to hosted SQL server solutions in the cloud instead of in-house. This is since real-time analytics allows users to receive visual information on their data immediately. Major software development company is providing azure services, cloud computing and other services too.
In other words, when a user requests a report, it can be pulled right off the server and ready for the user to review and make changes upon. In addition to this, users can get insight into how their application is performing in the real world as well, which greatly helps improve performance and increase response times.
Another key reason why organizations are opting to use Microsoft Azure Business Data Management platform is due to the number of tools that are offered by this platform. There is several load balancing, real time reporting, analytical processing, and predictive filtering technologies that allow users to rapidly scale their analytics solutions.
These features, coupled with the ability to easily integrate with external data and business intelligence tools such as Excel and Dynamics GP, greatly increases the agility of business applications and allows organizations to rapidly take advantage of big data analytics solutions.
With these capabilities, organizations can transform their business processes on a continuous basis and see greater return on investment by enabling them to make more informed decisions on how to best utilize their data to improve the overall performance and value of their business.