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Featured byQueen Mary University of London
Overview
Key facts
- These platforms hide the complexity of coordinating complex parallel computations across the cooperating nodes, instead providing to developers a high-level programming model.
- Queen Mary University of London's Big Data Processing module is based on the MapReduce programming model.
- Lectures explain how multiple data analysis algorithms can be expressed under this model and executed automatically over clusters of machines.
- The module also covers the internal mechanisms that a MapReduce framework uses to coordinate and execute the job among the infrastructure.
Programme Structure
Course include:
- Additional related topics in the area of Big Data, such as alternative large-scale processing platforms, NoSQL data stores, and Cloud Computing execution infrastructure are presented.
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
Blended
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 65 other Short Courses in Data Science & Big Data in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Aimed those with some computing experience, but are new to Big Data, our course will support individuals and SMEs to understand the current climate and future development of the technology.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1300 GBP / full≈ 1300 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1300 GBP / full≈ 1300 GBP / full
Living costs
London
United Kingdom
1137 - 2157 GBP / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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