Big Data Processing Using Hadoop
Johns Hopkins University · MD · EN.605.788
Big Data Processing Using Hadoop is a subject at Johns Hopkins University, MD. It covers topics like big-data, data-analytics, data-mining, data-science. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
Johns Hopkins University
EN.605.788
3.00
Topics covered
Degrees that include Big Data Processing Using Hadoop
- Bioinformatics, Master of Science
- Computer Science, Master of Science
- Data Analytics Engineering, Master of Science
- Data Science, Master of Science
- Information Systems Engineering, Master of Science
Frequently asked questions
What is Big Data Processing Using Hadoop about?
Big Data Processing Using Hadoop covers topics like big-data, data-analytics, data-mining, data-science.
Which degrees include Big Data Processing Using Hadoop?
Big Data Processing Using Hadoop is part of 5 degrees, including Bioinformatics, Master of Science, Computer Science, Master of Science, Data Analytics Engineering, Master of Science, Data Science, Master of Science, Information Systems Engineering, Master of Science.
How many credit points is Big Data Processing Using Hadoop?
Big Data Processing Using Hadoop at Johns Hopkins University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Big Data Processing Using Hadoop taught?
Big Data Processing Using Hadoop is taught at Johns Hopkins University, MD.
Studying Big Data Processing Using Hadoop?
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Sources: Johns Hopkins University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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