Day by day big data projects are becoming more and more common as companies seek to take advantage of everything that big data has to offer. To execute a big data project properly, there are many things that need to be considered and one of these aspects is programming language you use. There are many options to choose from, some being quite common whereas others are more advanced in nature. Choosing the right language leads your project to be successful.
Python
This language has been around for a while, especially in academic circles. Being a conventional object-oriented language, Python stresses added levels of reliability and productivity. It has been observed that the data scientists, who work in engineering environment, prefer Python. The more you know about data analysis, the more likely you will be using Python.
R
R is apt for user-friendly data analysis and the projects that are immensely involved with statistics. If a big data project uses extensive graphical models, R will be perfectly right language for it. The best part of this programming language is it can adapt with changing needs.
Scala
Scala is another programming language that can be considered as well. If you are associated with a company that deals with large sets of data, Scala will definitely be the language you should opt for. It allows free access to the entire Java ecosystem, mainly taking Java and getting rid of Java’s more restrictive coding facets. Scala can help data scientists build applications that are truly scalable, allowing greater interactions with databases and the construction of data pipelines.
Using Multiple Languages
It’s true that some complicated data projects require use of multiple languages. The more diverse the skillsets, the more agile your data science team will be.
Ultimately whatever language you choose for your big data project, it is entirely upon your project’s needs. To get more knowledge about these programming languages and acquire skills, Join Data Brio Academy, the leading big data training institute in India.