Data insights provide organizations with knowledge gained from analyzing sets of information. The value of these insights increases when they are presented to the right stakeholder in the right format at the right time. Big data insights imply working with data sets that require new platforms and technologies given the large volumes of data that need to be extracted rapidly, in real or near-real time, from heterogeneous source systems in a variety of formats. Data engineers play a key role in this process by ensuring data readiness. With the skills gained in this fifth course in the Data Engineering program, you will be able to describe the close relationship between data engineering and advanced analytics practices that use machine learning, artificial intelligence, and cognitive computing to support decision making.
It is recommended that you complete CCTB674 and have experience with computer programming (preferably Python coding), data architecture, data modeling, and databases before enrolling in this course.
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