Best Programming Languages for Big Data
In the first part of the blogon Best Programming Languages for Data Science, we talked about 7 languages. Those included the languages which are being used by maximum of the people dealing with Big Data.
In this blog, I am listing the other half of the list which comprises of the new comers with respect to the programming languages in the first part. Some of them have gained popularity similar to Java, Hadoop, R and SQL whereas, others have made a remarkable place in the market because of the distinguished features offered by them.
Python is one the best open source programming languages for working with the large and complicated data sets needed for Big Data. Python has gained popularity among the programmers using the object oriented languages. Python is intuitive and easier to learn than R, and the platform has grown dramatically in recent years, making it more capable for the statistical analysis like R. Python’s USP is the readability and compactness.
Modern day applications such as Pinterest and Instagram are built using Python. It’s a traditional object-oriented language, one that stresses added levels of productivity and readability. Python will also be a best fit for big data projects dealing with neural networks.
MATLAB is among the best programming languages for data science if you have to work with matrixes. It is not an open source language but is mostly used for academics because of its suitability for mathematical modelling and data acquisition. MATLAB was designed for working with matrixes in the first place which makes it a very good option for using it for statistical modelling and algorithm creation. MATLAB is also good for data science tasks that involve linear algebraic computations, simulations and matrix computations.
The drawback with MATLAB is that it poses restrictions on code portability.
Scala programming language is a fusion of object oriented and functional programming languages that helps build robust and scalable data science applications. Hence, it works with both Java and Javascript. Scala combines many of the beneficial features of other languages into one tight, easy-to-use tool.
Scala is based on Java and the compiled code runs on the JVM ecosystem, which makes it potent and flexible out of the gate, as it can run on just any platform. Scala for data science requires a little extra knack of abstraction and thinking. Scalability and number crunching features of Scala have made it among the best programming languages for data science.
Apache Hive is a data warehouse infrastructure built on top Hadoop for providing data summarization, query, and analysis.
