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Geospatial Development By Example with Python

You're reading from   Geospatial Development By Example with Python Build your first interactive map and build location-aware applications using cutting-edge examples in Python

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785282355
Length 340 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Pablo Carreira Pablo Carreira
Author Profile Icon Pablo Carreira
Pablo Carreira
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Table of Contents (17) Chapters Close

Geospatial Development By Example with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Preparing the Work Environment FREE CHAPTER 2. The Geocaching App 3. Combining Multiple Data Sources 4. Improving the App Search Capabilities 5. Making Maps 6. Working with Remote Sensing Images 7. Extract Information from Raster Data 8. Data Miner App 9. Processing Big Images 10. Parallel Processing Index

Chapter 8. Data Miner App

New challenges appear, to the extent that data size increases. Large sets of data bring problems related to excessive processing time and great memory consumption. These problems may turn data analysis into a painful process or may even make it completely impossible.

In this chapter, we will create an application capable of processing huge datasets in an efficient way. We will review our code, implementing new tools and techniques that will make our analysis not only run faster, but also make better use of computer hardware, allowing virtually any amount of data to be processed.

In order to achieve those goals, we will learn how to use databases and how to stream the data into them, making the use of computing power constant and stable regardless of the amount of data.

These tools will also enable us to perform more advanced searches, calculations, and cross information from different sources, allowing you to mine the data for precious information.

This chapter will...

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