Microsoft .NET is a robust and widely acclaimed development framework with comprehensive functionalities to build large and complex applications. Enterprises across the world have come to realize the significance of Big Data integration which has induced great demand for .NET services. Software built with .NET are facilitating big data analytics. For example, accumulating web log data, user clicks and impressions from an app, telemetry from IoT (Internet of Things) devices, and more. Big data analytics are generally initiated by batch processing the enterprise Big Data assets.
With several technologies offering Big Data integration services and claiming to be the most powerful, .NET stands apart with its ability to enable the integration seamlessly and strategically. Also, the fact that the Power BI, Microsoft’s popular data analytics software with Hadoop is an open ecosystem for the world, makes Big data analytics integration with .NET more appealing.
Enterprises looking to process massive data volumes to get better insights and take quick, informed actions are partnering with an ASP.NET web development company to harness the potential of this technology. To make the most of the highly flexible and scalable big data technologies, one can couple .NET with IIS Server to achieve significant business growth. Some of the considerable advantages of Big Data integration to build .NET solutions include:
Take More Informed Business Decisions: Managing complex business processes isn’t an easy feat. It is just as challenging as answering numerous customer-specific questions such as what customers need, who are the potential ones, why do they prefer a specific brand or solution at a given time and many more. Before Big Data’s inception, the answering, compiling and analyzing the simplest of queries took about a mont’s time for businesses to define the right criteria. Also, the burden grew, questions became more complex, making the task more challenging and time-consuming. Later the data intelligence tools simplified the process of answering questions. It has made the entire process more robust by shortening the period from months to weeks, days, hours and even minutes.
Ensure Data Accuracy: By integrating big data with the question-and-answer process to drive better business decisions, an enterprise not only gets a holistic view but a more accurate view of all the answers. However, processing large data volumes involve an inherent risk if the data accumulated is incomplete or incorrect. It can result in misinformed or somewhat uninformed business decision making. However, big data has significantly minimized these risks by enabling a complete and more accurate view of data.
Beyond the benefits listed above, Big Data integration also empowers the millennial generation employees by simplifying the software and web development lifecycles through .NET. They can even leverage a variety of platforms for easy to create reports and presentations. For businesses that can execute Big Data integration with .NET development successfully, it could lead to high profits and substantial breakthroughs. We’d like to have your opinions on integrating Big Data with .NET for developing robust software and applications. Please leave your comments below.