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Small businesses are looking forward to exercising data analytics to improve their services and run best in the market. Such companies try to generate some data and also seek help from third -parties for data to obtain insights. Here, the big question lies in how to take advantage of this Data as SMBs have constrained resources and less financial capability to store bulk data in local servers. The answer to this question is Cloud computing. Yes, before Data Science, the company needs to make an emphasis on Cloud computing. Walk through this blog to know the importance of cloud computing in Data science.
Let's get started!
What is Cloud computing?
In simple terms, Cloud computing enables companies to access digital information from any location over the Internet rather than having a physical server closet in their offices. It helps organizations to reduce IT overhead Costs which is crucial for startups, and small businesses as there will not be any reason to make an extensive investment in the IT department. Data Scientists have found that cloud computing makes managing and analyzing data much easier.
Let's know how!
Why is Cloud Computing Important In Data Science?
Let's forget that there is no such thing as Cloud Computing. In this scenario, companies would need to keep data on servers locally, and when Data Scientists were analyzing the data, they would need to extract it from the central server and transfer it to their own system. Just imagine the complication involved in this process as the data required for analysis is also at huge volume.
Furthermore, it's very costly to create a server and it requires constant maintenance, and backup of data in case anything gets wrong. Also, it requires a huge level of planning and companies obtain more or fewer servers than they require for data analysis. Here Cloud Computing comes into play! It doesn't require any server and you can use the cloud to host your data.