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Final presentation wherecamp berlin 2019 1
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Design Patterns of GeoData Driven Apps Shoaib Burq https://geografia.com.au http://deeplearningbox.com WhereCamp 2019 (Berlin)
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Complexity in Data Driven Apps 3 greater number of data sources more stakeholders more applications bigger datasets
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7 Client Name
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v1 (2017) - Traditional Geo Applications 8
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v1: Challenges 9 No Quality Checks Poor Schema Enforcement Time Consuming Not Scalable for Growth
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11 v2: add workflow system
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12 v2: add workflow system Add S3 to Store Raw Data Trigger Workflow (AWS lambda)
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13 v2: add workflow system Add S3 to Store Raw Data Trigger Workflow (AWS lambda) https://docs.prefect.io/core
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14 Forecasting with Machine / Deep Learning
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v3: Doing Data Science 15
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v3: Doing Data Science 16 Workstation with GPUs to train ML & DL Models ————————— deeplearningbox.com —————————
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v3: Doing Data Science 17 Workstation with GPUs to build Deep Learning Models Competing for Resources with applicatioon Manual Deployment of ML Models
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v4: ML Model Tracking + Deployments 18
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v4: PostgreSQL read only replicas 19
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v4: MLFlow + RDMBS scaling 20
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v4: MLFlow + RDMBS scaling 21 Fix: Competing for Resources Fix: ML Experiment Track & Deploy
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Future expected demands from customers & team 22
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Future Interactive Big Data Queries via Hadoop + Presto 23
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Future Real-Time events integration (e.g. social media feed) 24
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Thank you! Questions? Shoaib Burq https://geografia.com.au | http:// deeplearningbox.com 25