For a decade, Big Data remained a burning topic, and between 2015 and 2018, the frenzy hasn’t waned but continues to be upbeat. Recent studies show that in 2020 and beyond, Big Data mining has gained more impetus, as more enterprises than before are exploring ways of tapping the substantial unused potentials of big data technology for their organizations. On that premise, this article discusses the scope of Big Data to see its current uses and how it will be applied in the future.
What Is the Outlook for Big Data?
The massive potentials for using Big Data continue to increase because of the ever-increasing data growth due to technology used for different things. For instance, the internet has opened different ways of using data, social networks, internet searches, and media reports are on the rise daily.
The ways we share data through sensors and devices keep opening exciting new vistas for big data technology. Big Data creates the desire for big data specialists whose role would be to interpret and simplify data through analytical tools, making it more valuable for organizations.
Increase in the Need for Chief Data Officers (CDOs)
CDOs and Data Science specialists’ role will increase in the future due to their strategic role in using Big Data. Today the position will offer more authority to the employee in a firm. These companies expect CDOs to help monetize the massive data collected, including linking corporate information assets with the right type of business users.
With the increase in the data volume and predictive analytics, there is a massive demand for data science professionals. A study carried out recently on the workforce requirement for top managers in 100 countries shows that up to 67% lack adequate data science staff. The study revealed that the scarcest skill is Artificial Intelligence, Data Security, and Analytics.
Collecting big data without proper analysis will be counterproductive hence the need for a data scientist. Their role will include gathering data and analyzing it to make it more usable for these businesses. As time goes on, the role and power of CDOs will continue to evolve. Meanwhile, here is how to become a big data professional.
How do you acquire Big Data Expertise?
Le Wagon is a worldwide coding school, that is now offering data science Bootcamp which you can access on campuses or remotely in more than 40 cities. Getting data education from a reputable online institute such as the https://www.lewagon.com/data-science-course/full-time will enable you to easily get a job as a data scientist, data analyst, or data engineer.
You must study and be competent at machine learning, programming language like python, data visualization, deep learning, and data engineering. You can get those in-demand skills in 9 weeks at the esteemed Lewagon. com.
Other benefits of studying there include access to the sites network learning platform and Slack groups for expert tips. There is also provision of help to the graduates to enable they to get a job in top tech companies who are Le Wagon’s partners. Once you graduate, you will interact with hiring managers and international entrepreneurs and receive career coaching.
Data Migration to Hybrid and Multi-Cloud Location
According to professionals, massive data will not lessen but increase to about 175 zetta-bytes five years from now. This projection arises from the massive use of data online, shopping info, and diverse firms’ communications. Likewise, globally connected systems exchanging data generated by sensors and software over the internet of things adds more data that are analyzed worldwide daily.
Due to the nature and massive size of Big Data, processing and storage are demanding. It is projected that companies would rely more on cloud technology in the future for easy storage and processing, scalability, and speed. To validate this claim, services like Azure and Google cloud now offer pay as you use for big data services.
Experts forecast that more organizations will embrace multi-cloud platforms for storing and processing their Big Data. Businesses would keep info and both privately and in cloud storage. Some organizations will keep classified data in-house and other data in the cloud, creating a hybrid platform.