Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Big Data

Big Data

Hashmi, Adeel

Paperback

Business General

ISBN10: 6200655618
ISBN13: 9786200655615
Publisher: Lap Lambert Academic Pub
Published: Apr 9 2020
Pages: 56
Weight: 0.21
Height: 0.13 Width: 6.00 Depth: 9.00
Language: English
The term big data refers to voluminous, rapidly growing, complicated datasets; and not specifically to a particular size of the data set. The importance of big data lies in the information which can be obtained from it through predictive analytics. For big data analytics, we require tools and algorithms which can scale up to data volume with high performance, while keeping other parameters of data like variety, etc. also under consideration. The traditional data mining tools and algorithms are not able to handle such large fast-growing datasets, so we need new tools and algorithms to handle large volumes of complex data. In this paper, the authors propose a scalable architecture for warehousing and mining of structured and unstructured datasets.

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