At my day job, I build a lot of machine learning systems that require data to be fed in a time series manner[1].
Often this means building systems to analyze terabytes of logs [semi]-realtime. All I have to say is - thank god! This is going to make my job a lot easier, and likely empower us to remove our current infrastructure setup.
I know at one point we actually considered building our own time series database. Instead, we ended up utilizing a Kafka queue with an SQL based backend after we parsed and paired down the data, because it was the only one quick enough to do the queries.
Should make a lot of the modeling I've worked on a bit easier[1].
Often this means building systems to analyze terabytes of logs [semi]-realtime. All I have to say is - thank god! This is going to make my job a lot easier, and likely empower us to remove our current infrastructure setup.
I know at one point we actually considered building our own time series database. Instead, we ended up utilizing a Kafka queue with an SQL based backend after we parsed and paired down the data, because it was the only one quick enough to do the queries.
Should make a lot of the modeling I've worked on a bit easier[1].
[1] https://medium.com/capital-one-tech/batch-and-streaming-in-t...