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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
With a little bit of guidance, I reverted back to my hockey-themed app idea, but from an API with very simple endpoints (https://github.com/dword4/nhlapi). It was getting to be mid-week, and I wanted to simplify my model. The endpoint I elected to pass into my project showed an array of every NHL team, with a hash containing roughly 20 key/value pairs showing information from the city they play in, the conference and division they're a part of, home arena, first year of play, etc. It was the latter data point that I decided on to be the focus of my app. This made for a much more simplified idea than my previous ones, but I leaned into the rule of MVP- no I'm not talking about the Hart Trophy winner- but Minimum Viable Product. My goal was focused mostly on creating crisp, clear code, and properly separating concerns among the classes I would be writing.