Data Science Future/about-data-science-council-of-america/big-data-era
HOME About DASCA The Big Data ERA

The last two decades alone have created 98% of all data that has been piled up since we started writing history. In 2010, Google's Eric Schmidt estimated that the world created around 5 exabytes of information between the dawn of civilization and 2003. Now that same amount is created every two days. With the world experiencing such a rapid influx of data, it needs huge numbers of Data Science professionals to handle it. The fact is that all technology domains and industry sectors are looking up to Data Science to guide them into the future. We need Big Data dreamers to ensure that cardiac arrests be preempted, supply chains can be sharpened, and robots can become closer to humans.

Whether it’s equipping the meteorology departments for more accurate and even real-time predictions on climate change, and earthquakes, or diffusing pandemics, Data Science professionals have the capacity to do it all.

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The Future of Data Science Professions

Data Science has branched-off into multiple specialized tracks in the last decade to help global data factories rebuild themselves into producers of Business Intelligence for corporations, government agencies, and other organizations. Though all Data Science professional or specialization tracks still retain their traditional foundations, the methods and tools used to manage big data have changed dramatically – as the scale, complexity, velocity, and variety of data keep exploding through the roof – both confounding and exciting decision-makers at the same time.

The transformation of data into Big Data has not only added to the complexity of conventional data jobs, but it has also generated new categories of interdisciplinary roles and spawned an era of Data Science career tracks – many of which demand multi-dimensional competence. The following are the most important Data Science career tracks to have emerged in the last decade:

The following are the most important Data Science career tracks to have emerged in the last decade:
  • Data Science +
  • Data Research and Analysis +
  • Data Engineering and Development +
  • Data Architecture +
  • Data Administration +

THE DASCA VIEW OF THE RAPIDLY CHANGING AND EXPANDING DATA SCIENCE CAREER LANDSCAPE SERVE AS CLEAR HINTS ON HOW PROFESSIONALS, EMPLOYERS, AND EDUCATORS SHOULD PREPARE THEMSELVES FOR LEVERAGING THE BIG DATA PROMISE.

The other tracks are those of Data Management, Data Visualization, NoSQL management, and Data Warehousing management.

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