The world of Big data is continually changing with more number of innovations and unique ideas taking place every day. Therefore, through this article, we are going to tackle and discuss The Skills Required For BigData Jobs.
The Skills Required For Big Data Jobs
- Getting to know multiple technologies
To be a skilled big data professional, there is a range of technologies that you must be familiar with – some more than others. So it is important to do your research and know what you are getting into.
The most basic tools you should know are Microsoft Excel, SQL and R. Once you have mastered the basics, SPSS, Cognos, SAS, MatLab are important to learn as well as getting familiar with Python, Scala, Linux, Hadoop, and Spark.
- Hands on experience and developing yourself
It is necessary to get your hands dirty. Try to gain hands-on experience with this tools you are learning. Since the technology changes very quickly, taking some short-term courses can help significantly.
The professionals who are already in IT and know programming shall work on the newer technologies for added advantages. The interaction with the databases can help in understanding the data tools better.
- Learning how to program
To stand out in this job market, it is essential that you know how to code and conduct numerical and statistical analysis with large data-sets.
Some of the main languages you should consider investing your time and money in learning include Python, Java, R, and C++. It is important to note that it is not necessary to learn every programming language out there, but the more you know – the better for your career prospects.
- Being aware of Data Visualization and Analytical Skills
BigData tools essentially carry out all analysis to derive important insights from the large data-sets. Being familiar with the business domain can help you to understand the conducted of the analysis.
The data professionals shall have the ability to interpret the data by visualizing it. This needs a specific science and mathematics edge to understand the complex data with creativity and imagination.
- Understanding of Business & Outcomes
Analysis of data and insights would be useless if it cannot be applied to a business setting. All BigData analysts need to have a strong understanding of the business and domain they operate in.
BigData analysts can identify relevant opportunities and threats based on their business expertise. Domain expertise enables it’s analysts to communicate effectively with different stakeholders.
- Being aware of the Interpretation
Of all the skills, interpretation of data is the most important skill. It is the one skill that combines both art and science. It requires the precision and sterility of hard science and mathematics but also calls for creativity, ingenuity, and curiosity.
In most companies, a large majority of employees don’t understand their own company’s data. In fact, most employees do not even have a clear idea of where all it is. These employees often rely on reconfigured reports and dashboards to derive their insights.