IT244M3CA_Part2.docx Python and Big Data Purdue University Global Big data is used by many organizations to predict behavior, gather consumer data, and much more. What does the term big data mean what does it pertai
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IT244M3CA_Part2.docx Python and Big Data Purdue University Global Big data is used by many organizations to predict behavior, gather consumer data, and much more. What does the term big data mean what does it pertain too? In the article “Big Data†by Troy Segal, he explains that big data is a term used to describe diverse sets of information that grow at ever-increasing rates. The article goes on to categorize big data into structured or unstructured, structured data is data that is managed by the organization whereas unstructured is data that is uncategorized. Python is an excellent analytical tool to decipher this data into a more usable form. Python is a simple to use programming language that has a vast number of libraries that can be scaled to tackle any job. Whether analyzing a small amount of data or an endless amount python is a scalable language that has tools and libraries that can be used across many different web applications. In the article “Why is Python Programming a perfect fit for Big Data?†by Scarlett Rose, gives several benefits of using python as an analytical tool for big data because it is a simple language, open source, and has a vast amount of libraries for; data analysis, statistical analysis, and numerical computing. This is how python can be a powerful tool for analyzing data to be used by an organization for reaching is consumer base or advertising to new markets. Before the smartphone and social media data was quite small. Companies used data like names,. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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