Top 7 Programming Language to Excel as Cloud ProfessionalMarch 14, 2019 No Comments
Featured article by Danish Wadhwa, luminary tech professional
The cloud computing field is getting more prominent with time. Here is the chart that shows the growth of the cloud market.
Image Source: Forbes
You can expect cloud computing to grow more in the future. The growth of cloud computing is also increasing the demand for professionals who can work with the cloud system. Currently, there is a shortage of skilled cloud professionals. According to Payscale.com, the average salary of Certified Cloud Professional surpasses $100k annually.
There are plenty of cloud service providers. The dominating one is Amazon Cloud Service with 32% market share followed by Microsoft, Google, and Alibaba (Source).
You can enroll in the AWS certification course and kickstart your career as an AWS certified cloud practitioner. The well-structured course will equip you with strong theoretical knowledge combined with practical skills that will allow you to contribute to the corporation.
Like in many other fields, such as data science, networking, AI, Machine Learning, and so on, we need programming in cloud computing as well. There are tasks that you can fulfill without programming languages. However, you need programming skills for some sophisticated cloud projects. You will significantly increase your value with a knowledge of programming language in your arsenal.
However, you can expect to find some other programming languages that are popular in the cloud space, which we do not see in the list of popular programming languages. You will know what I’m trying to convey after going through this article.
7 On-Demand Programming Languages for Cloud Professionals
The popularity of programming languages depends on the specific IT sector. Here are some of the popular programming languages for cloud professionals that can increase their chances of landing a job and becoming more valuable:
- Structured Query Language (SQL)
SQL is a language that is popular for the database, data science, and also cloud computing. Any fields that need to deal with data most probably need SQL. The majority of computers use SQL for the connection between a database and a server. Most of the applications in the cloud make use of SQL for solving various problems.
The primary purpose of SQL is to manage data in interactive management of data in a relational database. You will find it easy to learn this language. It has a simple syntax and concepts that you can quickly grasp.
Many programmers love Python because of its flexibility, power, and simplicity. One report found that Python got more search volume than Kim Kardashian. It shows us the curiosity among people about Python. Many IT professionals in the field of data science, AI, and Machine Learning prefer using Python.
It has also touched the web, Enterprise App, and even cloud computing. There are plenty of data-intensive projects on the cloud computing space. The professionals prefer using Python for those type of projects.
The programmers can develop, analyze, and organize massive data chunks with no problems. It also makes streaming analytics applications much more easily in the cloud. Python can integrate with many other technologies without much difficulty, which makes it famous in the cloud computing space.
3. R Programming Language
R programming language was introduced way back in 1993 for solving statistical and data problems. It was not getting momentum back then. However, it has been able to get a lot of love from developers due to a rise in data science. Even many cloud professionals are in love with this programming language.
There are plenty of statistical and numerical problems that its users can solve. It covers the solutions for almost all mathematical problems. Be ready to expose yourself with tons of vectors, cool data sets, and factors. You can solve a lot of sophisticated numerical issues that you are likely to face in cloud system with R.
A programming language that is well known for developing highly scalable projects is Erlang. The programmers also use Erlang for the creation of systems that rely on the real-time transfer of data. Due to these core values of Erlang, it has been able to get its place in the cloud computing space. The programmers have used Erlang for major telecommunication and real-time messaging solutions in the past.
Erlang greatly supports distributed systems, which makes it accessible for many cloud projects. The developers can use “hot swapping” feature that allows them to change the code without affecting the functions inside the system. Many professionals use Erlang for sophisticated data-based cloud development projects due to its fault-tolerance capacity.
5. XML via Java
Image Source: Stack Overflow
The full form of XML is Extensible Markup Language. We use XML to classify data. We do not use XML for the development of complex applications. However, we do use it for encoding data and documents into formats that both human beings and computers can understand. It is essential for various aspects of development.
The developers widely use XML with Java for performing various operations. Java EE8 have come up with multiple changes that allow programmers to work even more smoothly with cloud-based systems. Since Java is in use for many complex cloud applications, you can find XML documents everywhere.
6. Clojure Programming Language
Clojure Programming language utilizes the scripting strengths and works smoothly on the resource-rich multithreading programming. It has been able to gain popularity among data scientists.
Clojure needs compilation. With that said, it is also able to run dynamically at runtime environment. It is a unique strength of Clojure. You can access various Java frameworks without any problems via Clojure. You will find immutable data structures in cloud computing, and we can effectively work with it via Clojure
The programmers can develop multithreading data designs with ease in Clojure programming language.
7. Go Language
The final programming language on the list is Go programming language. Google invented the Go language as an alternative to C++. Google has its interactive tutorials for Go language. We can use this language for the development of sophisticated standalone PC applications. It is an open source language, which is also a big plus.
Go has been able to secure a unique position in the community of cloud professionals.
Some of the Go-based favorite tools are Docker and Consul. There are many Big Data and Cloud professionals who love these tools. You will find no difficulty whatsoever to scale your Go-based applications. Furthermore, it also consumes a lesser memory in comparison to other languages.
Over to You
There are plenty of resources, technologies, and innovations when it comes to the information technology sector. It can be overwhelming for a beginner to choose the right career path, programming language, and courses.
About the Author
Danish Wadhwa is a luminary tech professional having hands-on experience on the channels of Web-driven services. He aims to benefit the global business seekers through his expertise in Digital Marketing along with the parallel support of his adroit team players.
The article like this one will help you cut through the information overload to help people like you make the right decision. You can go with one programming languages at a time, depending on the job requirement. I hope you got value from this content. In case you have something to share, let us know by commenting below.CLOUD COMPUTING