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HOME About DASCA The Big Data ERA

The last two decades alone have created 98 percent 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. Currently, there are 2.5 quintillion bytes of data created each day, and the pace is only going to accelerate with the onslaught of the Internet of Things (IoT) and other connected devices.

By 2025, it is predicted that global data production will reach 463 exabytes per day. Data-related occupations are expected to grow over 31 percent by 2030. Hence, the role of big data professionals armed with computer programming, statistical, and mathematical knowledge is fundamental to supporting the teams to formulate plans and strategies. We need Big Data experts to ensure that data integration pipelines are improved, supply chains can be sharpened, and more collaborative environments are created.

Whether it’s equipping the meteorology departments for more accurate and real-time predictions on climate change, and earthquakes, or diffusing pandemics, Data Science professionals can 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 professionals or specialization tracks still retain their traditional foundations, the methods and tools used to manage big data have changed dramatically – as the scale, complexity, volume, 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 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:
  • Data Scientist +
  • Big Data Research and Analysis +
  • Big Data Engineering and Development +
  • Big Data Architecture +
  • Big Data Administration +
  • Business Intelligence Analysis +
  • Data Modeling +

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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