Tag: data pipelines
![#GCP: Data pipeline - from datastore to Google Data Studio]( "#GCP: Data pipeline - from datastore to Google Data Studio")
03
May - 2020Analytics, Cloud Platforms
8 min | 21895#GCP: Data pipeline - from datastore to Google Data Studio
Analytics, Cloud Platforms | 8 min | 21895
This tutorial is about exporting data from Google Firestore to Google Data Studio to visualize it; or to import it on Google Colab to analyze it and train a machine learning model.
![Data Report]()
Fig. 1: Data diagrams on Google Data Studio This is the third tutorial from the series "implementing real-time data pipelines - from generation to models" and the other tutorials are the following:
![#GCP: Implementing Real-Time data pipelines - from ingest to datastore]( "#GCP: Implementing Real-Time data pipelines - from ingest to datastore")
15
Apr - 2020Analytics, Cloud Platforms, M5Stack
13 min | 43631#GCP: Implementing Real-Time data pipelines - from ingest to datastore
Analytics, Cloud Platforms, M5Stack | 13 min | 43631
Two weeks ago, I published a tutorial that explains how to connect an M5Stack running MicroPython to the Google Cloud Platform using the IoT Core, and I did mention that upcoming tutorials will examine the following topics:
- Collecting and synchronizing external data (weather from OpenWeatherMap) and other sensors -window/door status, sneezing detector-.
- Saving the data to a NoSQL database
- Displaying the obtained data on Google Data Studio (chec...
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