Essay about The skills gap in Big Data analytics - 1486 Words

Our every day life has changed forever, thanks for the ubiquitous smart phones and technology dependent information age. We leave a trail of data while travelling, shopping, driveing, bloggin, and even voting. All of these activities leave a digital signature unique to us, which if analyzed can predict our next move. Similarly, a large set of data is being created each day by businesses, researchers and the World Wide Web. According to an estimate by the government, there are about 1.2 zettabytes (250 billion DVDs) of electronic data generated each year by everything from underground physics experiments and telescopes to retail transactions and Twitter posts (Mervis 22). This data growth has created a new challenge and opportunity. The†¦show more content†¦The type of inquiry varies by the type of the field of study and each field has its own approaches. A person who is in charge of the data inquiry is called a data scientist. The discipline of studying about data is calle d a data science. In the study published by Harvard business review, data scientist is labeled as â€Å"The Sexiest Job Of the 21st Century (Davenport 70).† It is a new field of study where analyzing a large set of data has become a key to the success of a business. Data science is applicable in almost every discipline where a large set of data is generated and consumed. In pure science, specifically astronomy and physics, Big Data analytics has long been used for finding undiscovered planet or unknown atomic particle in the accelerator labs. Other areas like Biology and Chemistry are still developing techniques for the Big Data Analytics. In the study the Big Challenges of Big Data Vivien Marx wrote, â€Å"Biologists are joining the big-data club. With the advent of high-throughput genomics, life scientists are starting to grapple with massive data sets, encountering challenges with handling, processing and moving information that were once the domain of astronomers and high-energy physicists† (Marx 255). The uneven level of Big Data analytics usage within the pure sciences signifies the need to produce new talents and the gap that exists today. In health care, hospitals and laboratories keep electronics health records (EHR), about their patient dataShow MoreRelatedData Analytics, An Integral Part Of Modern Audit Practices1202 Words   |  5 PagesData analytics in audit Introduction: It is interesting to know how modern technology has helped auditors to become efficient with respect to time and resources. Not only that, auditors of late have become heavily dependent on technology for their easy and efficiency. 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