Topmost Big Data Programming Languages in 2020

Sure, there are a lot of programming languages used by developers, coders, and software engineers across the world. According to a survey, the total number of computer languages sums up to 9000. However, only 50 of these programming languages are preferred today. Start your Careers in Big Data.

Programming languages can differ based on industries like big data and AI. However, let us shift our focus and identify the programming languages preferred by the big data industry.

The tech market is dominated by big data. Therefore, as big data professionals, it is mandatory to learn the most important programming languages.

Most preferred programming languages in big data:

Learning programming languages amid the pandemic situation is worth investing the time and money.

Python

Python has 5 million users across the globe, projecting it as one of the most commonly used programming languages by developers.

Surprisingly, some of the world’s successful companies choose Python programming language for their product development.

These names include NASA, Google, Instagram, Spotify, Uber, Netflix, Dropbox, Reddit, and Pinterest. Python is considered a powerful language by both beginners and professionals.

Developed in 1991 by Guido van Rossum, Python became the very first language entry-level coders learn.

Python is best suited for tech professionals aiming for careers in big data. When it comes to integrating data analysis, web apps, or statistical code with production databases, Python becomes the perfect fit.

Also, it is backed by robust library packages that help in fulfilling big data and analytical needs making it a popular choice by big data enthusiasts. Pandas, NumPy, SciPy, Matplotlib, Theano, SymPy, Scikit learn are some of the libraries most commonly used in big data.

R

R programming language offers multiple graphical functions for data presentations such as bar plots, pie charts, time series, dot charts, 3D surfaces, image plots, maps, scatter plots, etc.  with the help of R, you can easily customize graphics and develop fresh ones.

R language was written by Ross Ihaka and Robert Gentleman; however, it is now developed by the R development core team. It is a programmable language that helps in storing and handling data efficiently.

R is not a database but a language that easily connects to the Database Management Systems (DBMS). R easily connects to excel and MS office but it doesn’t provide any spreadsheet view of data by itself.

The programming language is ideal for data analysis. It helps access all the areas of the analysis results and combines with analytical methods resulting in making positive conclusions important for the company.

Scala

Scala is an open-source and a high-level programming language majorly used by financial industries. Scala comes from the word scalability ensuring its significance in usability in terms of big data.

Here’s what data science expert Bruce Kuo, a data scientist at Codementor had to say about Scala.

“Aside from SQL, Python, and R, languages such as Java and Scala are not as ideal for big data analysis because they are more like “pure” programming languages that lack syntactic sugar. When compared with Python, there are also fewer data analysis libraries available.”

Apache Spark which is a cluster-computing framework for big data applications is written in Scala. Big data professionals need to have in-depth knowledge and hands-on experience in Scala.

Java

Java has been in the technology industry for quite a while, and ever since its existence it has been known for its versatility in data science techniques.

It’s worth noting that the Hadoop HDFS, an open-source framework used for processing and storing big data applications have been completely written in Java.

Java is extensively used for building various ETL applications like Apache, Apache Kafka, and Apache Camel, etc. which are used to run data extraction, for data transformation, and loading in a big data environment.

Highest-paid programming language

According to Stack Overflow survey, Scala, Go, Objective-C are programming languages that tend to generate handsome paychecks.

  • Scala – USD 150,000
  • Java – USD 120,000
  • Python – 120,000
  • R – USD 109,000

Therefore, if you’re looking to learn these programming languages ensure you choose the best big data certification program.

Scala is used by companies like Twitter, Airbnb, Verizon, and Apple. Therefore, making it the highest-paid programming language makes complete sense.

In a nutshell

There are more than 250 programming languages today. Despite having multiple languages to choose from, Python still emerges as a winner with 70,000+ libraries and 8.2 million users in the world.

Besides Python, you also need to keep brushing up your skills and learn new programming languages to stay relevant in the industry.

Before getting involved in big data, learning a programming language is mandatory. Make the right career choices and join the big data bandwagon.

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