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---------- Forwarded message ---------- From: Randy Myers <[email protected]> Date: Tue, Aug 7, 2018 at 5:46 AM Subject: Re: Hello from griffin team To: William Guo <[email protected]> Hi William, My company tickPredict wants to collect market data from cryptocurrency exchanges (Coinbase, Kraken, Binance, and others). This data available from the exchanges via a public feed. I most cases, the data is via websocket, but in a few, we have to use REST. We will TimeStamp this data when we receive the message to our AWS cloud instance. We will be saving both raw data (send directly to an S3 bucket) and "normalized data". This normalize data will aggregate the various feeds into one table structure. We will make this normalized data available to Python/Pandas and R. One of our clients mentioned Griffin as a possible solution for anomaly detection and reporting. The client would like to have a daily report of missing data or anomalies, which might be values that are out of bounds of reality. Is Griffin something we could use for these purposes? Thanks! Randy Myers Linkedin.com/in/RandyMy 312.933.6476 m On Fri, Aug 3, 2018 at 5:15 PM, William Guo <[email protected]> wrote: > Sure, > > Looking forward to it. > > > Thanks, > William > > On Sat, Aug 4, 2018 at 12:58 AM, Randy Myers <[email protected]> > wrote: > >> Thanks for the note, William. I will get you some details of our project >> over the weekend. >> >> Randy Myers >> Linkedin.com/in/RandyMy >> 312.933.6476 m >> >> On Fri, Aug 3, 2018 at 9:22 AM, William Guo <[email protected]> wrote: >> >>> Hello Randy, >>> >>> This is William from griffin team, Vivian told us your message. >>> >>> We are pleased to support you. >>> >>> Could you tell us your use cases for data quality so we can follow your >>> insights better. >>> >>> >>> Thanks, >>> William >>> >>> >>> >> >
