Big Data Explained

The term “Big Data” describes extremely large data sets –structured or unstructured– that if analyzed computationally they can reveal patterns, trends, and associations.

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As the era of “Big Data” dawns on biomedical research, multiple types of biomedical data are being generated on an unprecedented scale with high volume, variety, and velocity, challenging our current abilities for data representation, visualization, integration, storage, and analysis.

For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data every day, while the application of electronic health records (EHRs) is documenting large amounts of patient data.

There is a great challenge to leverage the significant potentials of “Big Data” in educating and recruiting future computational data scientists with the background and experience to exploit “Big Data” opportunities. The considerable challenges demand education and hands-on training that are currently insufficient.

Where Will Big Data Take You?

Bioinformatics, computational biology, is a relatively new and expanding field committed to the application of computer technology in the analysis and management of biological statistics. Some common career paths include: researcher, analyst and engineer. Each career path is rewarding because in this day and age, going forward—informatics will become a necessity.

If you’re serious about biomedical informatics, then be part of BD2BMI to begin your journey. Apply today!

Looking to learn more about Big Data?
Check out these resources below: