Cartonama Conference

Making the most of geospatial data, community mapping, and location-based services.

Challenges and Best Practices when working with location based data.

Submitted by Varun Shingal on Thursday, 23 August 2012

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Technical level

Intermediate

Section

Technology

Session type

Lecture

Status

Confirmed

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Total votes:  +32

Objective

Challenges and Best Practises when working with location based data.

Description

What are the possible ways of storing,retrieving and representing geo-spatial data? What drives the choice of a given representaion of this data? How can small tweaks enhance performance?

The discussion aims to enlighten pros and cons of the various methods of representation when trying to resolve a problem involving geo-spatial data. How would we store and index the data for a location like Bangalore and get relevant information for an area like Koramanagala to serve intelligent information.

We would also like to cover several ways to save infrastructural costs(example of Amazon EMR will be taken).

Our experience is mainly around writing pipelines for processing huge ammounts of spacial data from their raw form to creating relevant reports. We would like to talk about the several performance bottlenecks we faced in representing and maintaining data as well as performance and how we overcame these.

Requirements

Surface Knowledge of Big Data.

Speaker bio

Varun is the Techincal Architect for Big Data at Minjar, Kuliza Technologies. He is working on solving the several problems involved with representation of geo-spatial data and mining this data.

Loves to work on new and exciting challenges. Having worked in diverse technologies involving Rules Management, Virtualization, Mobile etc. in different organizations, he is now working at Minjar, Kuliza Technolgies.

Comments

  • 2
    Mayank Kandpal (@mayankk4) 6 years ago

    Super !

  • 1
    Anindya Kundu 6 years ago

    lovely! looking 4wrd 2 it!

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