time series data

4 statements across 2 episodes · 2 bullish · 1 bearish · 2 people on the record · first statement Sep 17, 2018 by Ajay Kulkarni · across every show →

Everything said about time series data, oldest first

Sep 17, 2018 negative
Insight
Ajay Kulkarni: Non-time-series data storage discards valuable state information
“And in fact, I would argue that not storing your data as time series is throwing away valuable information, because then you're losing how your data changed in the past, how it would be changing today, and how it might change in the future.”
Ajay Kulkarni Sep 17, 2018 ▶ 11:05 3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
Sep 17, 2018 neutral
Assertion Supported
Kulkarni: Web eventing and machine learning inferences are time-series data
“Web and mobile eventing data, again, is, is time series data, and even machine learning inferences are a source of time series data.”
Ajay Kulkarni Sep 17, 2018 ▶ 10:08 3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
Sep 17, 2018 positive
Insight
Ajay Kulkarni: All data is fundamentally time-series data
“It's actually because we believe that all data is fundamentally time series data.”
Ajay Kulkarni Sep 17, 2018 ▶ 10:42 3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
Jun 12, 2019 positive
Assertion Supported
Flux turns InfluxDB into a serverless execution platform for time series
“It essentially turns the database into a serverless execution platform for time series data. The idea is you can define any sort of custom logic that you want, inject it into the database, and it will periodically run that logic over the data that you're writi…”
Paul Dix Jun 12, 2019 ▶ 17:56 What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
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