I read Demystifying Data Science For All from business over broadway. For someone new and interested in the space, this article is great.
Generally speaking, data science is a way of extracting value and insights from data using the powers of computer science and statistics applied to a specific field of study – Business over Broadway
I studied Biomedical Engineering and I work with data for my research. What makes data scientist different is the increased size of the data set and the variable structure of that data. Today, we have data from servers, logs, mobile, IoT, 3rd party integrations such as salesforce, chat, Zendesk, etc. To complicate matters, some of the data are not structured.
I’m still not sure how you can analyze data that are not structured. The data I have worked with have all been structured. Sometimes, I need to transform that data so it can be easily analyzed.
The sheer volume of recorded data is called Big Data since there is a lot of it; hence, Big. Better technology enables us to store and process Big Data. Businesses want to understand and analyze this massive data to gain competitive advantage.
At my work, security is also another factor. Massive data is collected and security measures have to be taken so analysis does not reveal sensitive information. The article did not mention security but it should be taken seriously in any organization working with sensitive data.
I am surprised to see IBM listed as the leader in Data Science Platforms. Living in SF, I thought it would be Google or Amazon. They have the expertise in house so they should be able to monetize that expertise. Perhaps it is more valuable to use that expertise on their core businesses than to provide services to other companies.
My interests in Big Data is automation. How can someone take all this data and generate something useful with the least amount of resources. That’s where technology and computer science comes in.