The Fifth Elephant 2015

A conference on data, machine learning, and distributed and parallel computing

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Submitted Jun 15, 2015

Map Tile Server

NV

Niranjan Bala V

@niranjanbalav

Section: Crisp Talk Technical level: Intermediate

Problem Statement
Our previous maps at CommonFloor used JavaScript to show listings on google maps. The user experience would break in high density, zoom/pan, application of filters. To solve the problem, we have overlaid our own tiles (transparent PNG images of size 256 x 256) on google map. These tiles are generated from backend and improve the maps experience significantly by making the whole operation essentially independent of client’s machine. It also allows maps to render hundreds and thousands of data points without effecting the performance.

Outline

This talk outlines what it takes to build your own custom tileserver from scratch.

Speaker bio

Niranjan is a Tech lead at Commonfloor, handling maps developments.

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Data Infrastructure for Real Time Analysis of User Click Stream Data

AN

Aditya Prasad Narisetty

India is churning out a large number of service oriented startups by the day. They need to build customized views for users based on those users’ previous sessions and interactions with the product. Most startups can’t afford to design, build and maintain a custom Data Analytics Pipeline let alone do real-time data analysis and refine user interactions with the product. Most startups have few developers skilled in ROR, JS, Python or JAVA and no experience in setting up HDFS, Hadoop ETL, or MapReduce Jobs. This talk presents a way to build tailored data products for users backed by real-time data, with minimal resources. We’ll show how to build a pipeline with 3 production servers and experience in a single programming language.
  • Jun 15, 2015
  • 1 minute

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