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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Big data processing

For data science analysis and geospatial analysis, encountering big data is more common than ever. MapD is incredibly fast when retrieving rows and return data to the client, making it really useful for powering real-time databases or for performing queries on huge datasets. 

MapD offers amazing speed-ups on processing big datasets compared to CPU-bound databases. Because of the high number of cores that each GPU card contains, paralleled processes can run faster. This means that datasets numbering in the billions can be queried and analyzed in milliseconds.

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Publisher Resources

ISBN: 9781788293334Supplemental Content