So you want to be a data scientist (again)?

Put your natural science skills to work in a data science career

Guest contributor Daniel Harris of SoftwareAdvice.com

The explosive economic impact of big data has blurred the line between the business world and the scientific world like never before. A new type of business leader, the data scientist, has evolved as an amphibian, capable of thriving in both worlds, swimming in data lakes to bring useful insights back to the solid ground of business concerns.

Of course, companies have been using business intelligence (BI) tools to analyse their operational and financial performance metrics for decades.

But datasets generated by the web are so large that they must be stored on clusters of servers with thousands of nodes. Traditional methods for analysing these datasets have faltered, necessitating a more scientific approach.

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