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How .NET & Big Data Based Solutions can Prove Highly Beneficial for your Project

Lena Charles
Tech Consultant at well established IT company specializing in enterprise web application development, mobile apps, IoT, Cloud and Big Data services.
Updated on ・3 min read

The integration of data along with .NET functionalities has been a vital part of the system for a large part of time. With time, .NET became one of the most preferred languages for developers and they have started to adopt Big Data into their development.

There are many built-in functionalities that allows developers to work with big and complex applications. .Net is flexible, secure and robust by nature, thus giving a boost to the existing Big Data development with the increase in demand for more predictive based analytics.

Major companies are embracing Big Data while working on the analytics assets and data batch processing. The gathering and aggregation of the data work up along with user clicks and IoT devices, get the best out of applications.

When you hire web developer for .NET based solutions, integrating Big Data can help you gain deep insights that are both predictive and prescriptive to gain a competitive advantage.

Microsoft had tied up for data analytics with Hadoop, to make working with Big Data significantly larger for companies who have an interest in big data based solutions and who want to work on quick but better insight on applications.

1. Taking better business decisions

With the integration of .NET and Big Data, companies can take a well-informed, predictive decision for their business related plans. For companies, after involving big data into their decision making, the entire idea of application development has converted up in orientation with customers. This presents a potential application in the market that is compelling enough while focusing on solutions and brand.

This becomes an essential part of the big data inception allowing businesses to focus on analyzing and answering the queries. Companies aim to shorten up the cycle to answer questions and data intelligence along with the entire process.

2. Accurate data processing

One of the major concerns for many companies with big data is the accuracy. Most of the data that is collected from surveys, feedbacks, and questionnaires is then added up with the history of customers, usually collected with cookies and allowing the business to make better decisions.

The type of big data based solutions that a company focuses on is data accumulation that adds up to the volume of data to eliminate maximum issues and risks. This is especially helpful in modifying the data in a much secure environment with the suruity that decision is not made as per the uninformed or misinformed data. It offers an accurate data flow while also minimizing the overall risks.

3. Apache Hadoop

Today, an ASP.NET web development company, or any reputed company involved with .NET based solutions for that matter, allows the talented pool of developers to focus on leveraging up the existing Microsoft dominant .NET technologies. In this way, developers can focus on the overall transformation and skill sets while developing and ensuring that data analytics can work within a secure flow.

But, in the most recent years, the skills of developers’ jobs have increased and major companies anticipate a much-advanced technology flow. This in turn gives brownie points to the system enabling the environment for development to be in an integrated manner. This is a systematic way to allow efficiency in the system to focus on large data.

Therefore, such big data solutions have proved instrumental for .NET development. With Hadoop taking the majority of space into it, making it a vital point for the companies to ensure that the delivery of software is done in a secure manner.

In return, developers can also ensure that development is done to the topmost transformation game.

Conclusion
.NET has always been on top of the game when it comes to web development. Breeding from the grounds of Microsoft, these technologies have proved to be extremely mature and dynamic. This is one of the major reasons why working on big data with .NET technologies is fruitful for companies.

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