Is C# good for big data?

Actually, C# is better suited for big data kind of algorithms over Java, simply from the way that it could handle structures, whereas the Java language has no concept of them. Furthermore, C#, the same as Python could have yield type of functions for breaking the problem much further, which Java does not have.

Is C# dying language?

C# falls in the top 5 popular tags in Stack Overflow with over 200 questions asked every day. So, bottom line: as long as Microsoft still exists and they don’t make another language to replace C#, it will remain huge.

Do data scientists use C#?

When thinking of data science and machine learning, two programming languages, Python and R, immediately come to mind. One of the most popular languages today is C#, which is used for many applications.

Is C# important for data science?

Originally Answered: Is C# a good language for data science/big Data? No. Its not. In Big Data area mostly Java,Python,SQL and R languages are used for processing as well as Analytics purpose.

Why is C# not popular?

Originally Answered: Why is C# is so much better than Java yet not as popular? The main reason is that Java is platform independent in a way that C# is not. There are some projects working towards making C# less platform dependent, but they have a long way to go yet.

Is C# .NET popular?

Polling more than 19,000 developers, the new “Developer Economics State of the Developer Nation, 20th Edition,” report is out, finding that C# has ticked up a notch in popularity, overtaking PHP for No. 5 on that ranking.

Is .NET popular 2021?

DataSeries highlight: One of the most famous and widely used frameworks, . NET does not require any introduction to the audience out there.

Does C# has a future?

C# is one of the most popular programming languages in the world. Not only C# can be used to build Windows applications but we can build applications that target Linux, MacOS, iOs, and Android operating systems. On top of that, C# is one of the fastest evolving programming languages among all.

Is C# good for machine learning?

C# is one of the most versatile programming languages in the world. C# allows developers to build all kind of applications including Windows clients, consoles, Web apps, mobile apps, and backend systems. C# can be used for machine learning applications via a . NET Core machine learning platform, ML.NET.

What is big data and why is it popular?

Big data is becoming a really popular trend of research and business developments. So it would be interesting to discuss the reasons for such popularity. What is big data? The classical and the most well known definition of ‘big data’ describes it as being characterised by three ‘Vs’: variety.

Why is Java used for big data development?

Because people who built the tools and set the foundations for today’s activities around “big data” didn’t code things in C# and .Net when they started. It was only natural for creators of the foundations of big data to use more “open” languages like Java because it allowed more people to jump in and contribute.

What is the big data scenario?

The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety of data that require a new high-performance processing.

What are the negative factors of big data?

Big Data also suffer of the aforementioned negative factors. Big Data preprocessing constitutes a challenging task, as the previous existent approaches cannot be directly applied as the size of the data sets or data streams make them unfeasible.