Monitoring and Analyzing London's Air Quality with Pentaho ... · Monitoring and Analyzing London's...

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Monitoring and Analyzing London's Air Quality with Pentaho Mark Semenenko, Pentaho Sales Engineer, Hitachi Vantara Anya Rumyantseva, Pentaho Data Scientist, Hitachi Vantara

Transcript of Monitoring and Analyzing London's Air Quality with Pentaho ... · Monitoring and Analyzing London's...

Page 1: Monitoring and Analyzing London's Air Quality with Pentaho ... · Monitoring and Analyzing London's Air Quality with Pentaho - Presentation Author: Mark Semenenko and Anya Rumyantseva

MonitoringandAnalyzing London'sAirQualitywithPentahoMarkSemenenko,PentahoSalesEngineer,HitachiVantaraAnyaRumyantseva,PentahoDataScientist,HitachiVantara

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Pentaho

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Agenda

DevelopingPentahoDemoshowcasingtheplatform’send-to-endcapabilities

• Pentahoasanend-to-endplatform• UseCaseOverview• Demonstration

• Summary

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Pentahoprovidesflexiblemanagementforend-to-enddataflows…

DataPrepDataEngineering Analytics

Ingestion Processing Blending DataDelivery DataDiscovery/Analysis

Analysis&Dashboards

Administration Security LifecycleManagement

DataProvenance

DynamicDataPipeline Monitoring Automation

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…andMachineLearningcapabilities!

DataTransformationandMachineLearning

Workflows

Fullautomatedproduction

Dashboarddecisionsupport

ypred

DataEngineering DataPreparation Analytics

X

Dataco

nnectors

DataSource1

DataSource2

DataSourcen

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Aim:developademoshowingafullspectrumofPentahocapabilities

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OurUseCase“LondonAirQualityMonitoring”

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Why?

• Airqualityaffectswell-beingofresidentsandvisitorsofthecity• 9000earlydeathsayearinLondonduetoairpollution• Airpollutionmonitoringandmitigationarecrucialforcitycouncils

• Theusecaseiseasytounderstandandtofollow

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DataSources

• LondonAirQualityNetwork(96stationsacrossthecity)• RoadTrafficCounts(numberandvehicletype)

• MeteorologicalParameters(wind,temperature,humidity)

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Collecting,PreparingandBlending

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Demonstration

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Collecting,PreparingandBlending

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AirQualityPrediction

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PentahoMachineLearningOrchestration

1 2

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PredictivemodelforAirQualitywasaddedtothedemo.

*Long-ShortTermMemoryneuralnetworkwasusedtomakepredictions

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Demonstration

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OperationalisingPredictiveModelinPentaho

Whatwehaveshowninthedemo:

• Featureengineeringanddatapreparation• Scheduledmodeltrainingandupdate

• Modelapplicationonnewdatastreams

• Trackingandstoringmodelperformancemetrics

• DisplayingpredictionsinPentahodashboards

OperationalizemachinelearningmodelsinPentaho!

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Summary

Whatwecoveredtoday:

• Pentahoprovidesasingleconsistentexperiencefordevelopingdataproducts• Theplatformallowstoputmachinelearningalgorithmsintoproduction

• Informativedashboardsfordecisionmakingbasedonadvancedanalyticsanddatatransformationinthebackend

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