- It is to find the optimal exercise timing with less particulate matter(PM) in Seoul (South Korea)
- This system automatically sends weather and particulate matter(PM) data to the Twitter and the Line messenger. (six times per a day).
- We analyze time series of collecting weather and particulate matter(PM) data.
- Real Demo: https://twitter.com/aniotmaker
- Keynote: SlideShare @Nongshim Engineering
This time, we will query AWS Athena for real-time collected data through AWS-IoT core & Greegrass. In addition, BI verifies the results with AWS QuickSight, Tableau Analytics, and Apache Zeppline visualizations.
- Node-RED Nodes
- Node-RED Flows
- Twitter Bot For Seoul Weather(@aniotmaker)
- Particulate Matter(PM) Data Analytics on Grafana
- AWS CloudWatch on Grafana
- Line Bot
- Tableu Analytics
- Jupyter Web Notebook
- Getting started with InfluxDB
- Node-RED nodes to save and query data from an influxdb time series database
- Grafana Lab
- My Keynote(SlideShare)
- OpenWeather API
- Get started with Tableau
- What Is AWS IoT Greengrass?
- Designing MQTT Topics for AWS IoT Core
- Using Node-RED Library to Wire Telemetry Data from IoT Devices to the Cloud
- Using AWS IoT Analytics to Prepare Data for QuickSight Time-Series Visualizations
- AWS Documentation
- AWS 기반 지속 가능한 데이터 분석 플랫폼 구축하기 - 소성운, 지그재그 :: AWS Summit Seoul 2019
- AWS 기반 지속 가능한 데이터 분석하기
- Spark Streaming: IoT with Amazon Kinesis and Visualizing with Qubole Notebooks
- 궁금한 이야기 Y - 그들이 AWS 위에서 데이터 파이프라인을 운영하는 법
- Tutorial: Using the Sense Tecnic InfluxDB platform with FRED (Cloud Node-RED)
