Implication of Cloud On Data Science

Ranked as one of the best jobs to have all across the globe by Glassdoor, Data Science happens to be a field with a lot of changes and developments in store for itself. This being said it is very important to note that when it comes to data science, these changes are just not within the field itself but are also influenced by various developments around it. Most commonly noted of these developments. These developments could refer to the development of new technologies like Artificial Intelligence or its commonly known acronym as AI and Cloud.

Both these technologies have proven to be quite instrumental in the transformation of the field of data science which is why many companies now are able to access slightly sophisticated intelligence data and at the same time are able to increase the speed at which they can innovate new possibilities. This is why teams of data scientists are increasingly employed by many, not because they look good as a part of the company, but because they are the need of the hour as the world gets increasingly competitive by the second.

As the opportunities for expansion increase, so does the number of challenges. This basically leads to various problems that many of the data scientists are no longer a stranger to. For instance let us talk about the amount of the information, which is almost mountain like in nature and size which is why it seems that it is quite surmountable for those data scientists to even work with the same.

This is where the cloud comes into play. Mainly because of the ever-increasing amount of data in this rapidly developing data-driven world, the cloud has become quite the common denominator which a lot of companies have for storage purposes. It works as the most effective tool that the companies can make use of in order to efficiently manage and share their intelligence across the organizations.

Accessing this data stored in the cloud thus becomes very instrumental for the development and progress of the said firms. Every single position in the firm from various analysts to that of the managers is today able to interact with data, from a professional at the position of a developer who is supposed to build apps in keeping with the team of data scientists to even a manager who works with the logistics and is basically supposed to update the inventory levels as well as the customer trends data.

The development of cloud and its interconnectedness to the data driven world is so much so that nowadays the new developments that take place here are entirely based on data. Like for instance let’s take the example of the cloud powered notebooks. These are pretty common workspaces, in which the data scientists, developers and business analysts are supposed to work in tandem, this only goes to show how interconnected these two technologies have become today. There are various ways to train to be a data scientist today and one of the most followed path is taking the professional training route with institutes like Imarticus Learning.

Source: https://www.datasciencecentral.com/profiles/blogs/implication-of-cloud-on-data-science?xg_source=activity