Learning Goal: I’m working on a management writing question and need support to help me learn.
What is “big data”? What are the most important drivers of big data? What could happen if companies focus solely on the quantitative (i.e., “numbers”) aspects of big data? Explain.
PROFESSOR’S GUIDANCE FOR THIS WEEK’S LE:
Big Data is no longer just a buzzword; it is a proven phenomenon and not likely to die away soon. A recent IDC report predicts that the digital universe will be 44 times bigger in 2020 than it was in 2009, totaling a staggering 35 zettabytes.
Two factors have combined to make Big Data especially appealing
now. One is that so many potentially valuable data resources have come into existence. These sources include the telemetry generated by today’s smart devices, the digital footprints left by people who are increasingly living their lives online, and the rich sources of information commercially available from specialized data vendors. Add to this the tremendous wealth of data — structured and unstructured, historical and real-time — that have come to reside in diverse systems across the enterprise, and it is clear that Big Data offers hugely appealing opportunities to those who can unlock its secrets.
The other factor contributing to Big Data’s appeal is the emergence of powerful technologies for effectively exploiting it. IT organizations can now take advantage of tools such as Hadoop, NoSQL, and Gephi to rationalize, analyze and visualize Big Data in ways that enable them to quickly separate the actionable insight from the massive chaff of raw input. As an added bonus, many of these tools are available free under open source licensing. This promises to help keep the cost of Big Data implementation under control.
Be sure to proofread carefully (Use Grammarly – the premium version! Make sure your writing score is more than 90) and cite your sources (APA 7.0 ed).
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