Final presentation

wherecamp berlin 2019

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Design Patterns of GeoData Driven Apps

Shoaib Burqhttps://geografia.com.au

http://deeplearningbox.com

WhereCamp 2019 (Berlin)

Complexity in Data Driven Apps

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greater number of data sources

more stakeholders

more applications

bigger datasets

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Client Name

v1 (2017) - Traditional Geo Applications

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v1: Challenges

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No Quality Checks

Poor Schema Enforcement

Time Consuming

Not Scalable for Growth

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v2: add workflow system

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v2: add workflow systemAdd S3 to Store

Raw Data Trigger Workflow

(AWS lambda)

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v2: add workflow systemAdd S3 to Store

Raw Data Trigger Workflow

(AWS lambda)

https://docs.prefect.io/core

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Forecasting with Machine / Deep Learning

v3: Doing Data Science

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v3: Doing Data Science

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Workstation with GPUs to train ML &

DL Models ————————— deeplearningbox.com —————————

v3: Doing Data Science

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Workstation with GPUs to build Deep Learning Models

Competing for Resources with

applicatioonManual Deployment

of ML Models

v4: ML Model Tracking + Deployments

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v4: PostgreSQL read only replicas

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v4: MLFlow + RDMBS scaling

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v4: MLFlow + RDMBS scaling

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Fix: Competing for ResourcesFix: ML

Experiment Track & Deploy

Futureexpected demands from customers & team

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FutureInteractive Big Data Queries via Hadoop + Presto

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FutureReal-Time events integration (e.g. social media feed)

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Thank you! Questions?

Shoaib Burqhttps://geografia.com.au | http://

deeplearningbox.com

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