Why Should You Pursue Big Data Analytics As A Career?

2017 promises to be one goldmine of a year for big data analytics. Just as analytics has solidified its footing in different industries the market is growing in a steady and cumulative manner. What started as merely a trend or a buzz as it was called has now become part and parcel of almost all major business operations around the world; now it has its own set of trends and experts are ever so eager to track those trends down.

Big data over the years has changed; now, as one gets access to real time data streaming and sophisticated data pipelines, big data is redefined as fast data and actionable data. The data volume keeps growing and so does the need to put the data into good use to derive patterns and insights. The whole phenomenon is still very much in its years of growth.

Why Should You Pursue Big Data Analytics As A Career?

One can easily spot a growing inclination towards data science among the analytics professionals. Cognitive IoT, deep learning, cognitive chatbots are currently the most happening things in the data science industry. Artificial Intelligence, machine learning etc are keeping the analysts busy too. Big data training institutes do not stop at getting you ready for the big data analytics job roles but also to hone your skills to enter the advanced fields of data science, machine learning or advanced analytics.

There are still some problems regarding the rights of the data that is generated through various sources. These disputes are predicted to surface very soon and maybe there will be a resolution of these issues. Big data in digital security, finance management and national security seem to be the most relevant concerns at the moment. A more in depth analysis is facilitated by the analytics tools and technologies. Everyone is looking to get one step ahead of the curve with the help of predictive analysis. The point is that the horizon of the big data industry has expanded and is expanding as we discuss all this.

The good thing about this is that a big data expert can start with a larger salary than a fresh IT professional. The salary of an analyst with an experience of 5-6 years can surpass the salary of a corresponding IT professional by nearly 30%. The better salaries and global appraisal has attracted a lot of youngsters and experienced professionals to enrol in a big data training institute. The skill gap however, persists. The reason behind this can be two fold. One, the dexterity required to handle an analytics effort is hard to achieve; two, not enough people are coming forward to pursue a career in big data analytics. It is expected of the youth to have an early start in analytics so that they can use the opportunity created by the global situation of data centricity. The most important part of big data training seems to be learning to have an open eye for every single chance to enhance skills and step forward.