Can .Net Developers Do Big Data Analysis / Data Science?
Big data analytics is a form of advance analytics, which involves complex application with elements such as predictive models, statistical algorithms and what-if analysis powered by a high-performance analytics system.
When I started learning about data science(Still learning but am not yet a pro), I have always wondered, is it possible to do data science using another language apart from python and R as we know it? Although I am not a .Net developer, but the question still remains.
The Huge Data Industry.
Data analytics is a huge industry and most of the enterprises have begun to realize the value of big data. But if a company lacks the right skills in big data analytics, this will render traditional approaches useless. The required skill needed are statistics, analytics and good communication skills.
Why Most People Prefer Python and R.
- Both R and Python include libraries for performing many machine learning algorithms/statistical models.
- R and Python are free (open source), and also because R and Python have excellent visualization tools, which the other languages currently lack.
- It is very easy in R or Python to produce conditioned or faceted charts.
- R and Python are heavily used and the most preferred tool used by data scientists all over the globe.
.Net For Data Analytics
Some .Net languages like C# are better suited for big data analytics than most of the programming languages out there. Microsoft also enables .NET programmers to use C# for writing ,reusing, and to use huge data sets to develop effective business logic and solutions.
Microsoft hit the wave of big data when they opened and announced big data analytics software known as Hadoop that was fast, scalable, low cost, flexible, and resilient to failure. This technology was cool in a way that it included several tech skill such as NoSQL databases, analytics and many more and also could run in the cloud with the help of Microsoft Azure HDInsight(Azure platform provides powerful Big Data solutions in the cloud) to build batch processing solutions that cleanse and reshape data for analysis.
Conclusion
The Development of .NET solutions is made easier and has all of the capabilities built into it that you need for Big Data/ Data Science. Microsoft has created a system in big data that simplifies the software and web development processes.
Even with the emergence of data analytics, one of the most in-demand skills and jobs today still include .NET developers and are needed for web and desktop systems to deliver solutions that are customized. They are in demand to work in integrated development environments and one of the best to make good use of the Hadoop technology of huge data to deliver effective solutions.
