Page Rank Algorithm in Map Reducing for Big Data

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Provided by: World Academic Industry Research Collaboration Organization (WAIRCO)
Topic: Data Management
Format: PDF
Big data contains the huge amount of data, where it needs the new and different technologies. So that it can easily retrieve the data, with the increasing speed. These big data categories, due to the volume, velocity, variety, variability and complexity. The nature of big data is it occupies more space and it can be stored in different distributed file systems. So, here it introduces the map reducing concepts which is widely used in big data for its more efficiency. Map reducing has a parallel processing system in big data. There are many algorithms for map reducing like sorting, searching, BFS, page rank and advanced algorithms.
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