Hi all,

Here is the meeting notes from griffin team with spotify at Feb 28th.

1. Griffin introduction and demo.
 - Support multiple data sources, like hive, kafka. The others could be
extended.
 - Support multiple dq dimensions, like accuracy, profiling, timeliness.
The others could be easily extended, cause spark-sql is supported.
 - Support batch and streaming data.
 - Some experience of data quality platform built in ebay production.

2. Some specific requirements from spotify:
 - Use cases are mainly accuracy
 - Google cloud is the data source, it should be supported (It would be
easy to extend data connector for different type of data source)
 - Some anomaly detection like threshold or something else (Elasticsearch
would be better to handle this)

Pls append if any missing part.

We can have more discussion through the dev-list.

Thanks,
Lionel Liu

On Tue, Feb 13, 2018 at 3:52 AM, <[email protected]> wrote:

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> *Changed: *Tue Feb 27, 2018 8pm – 9pm Eastern Time - Toronto
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> Sneha Rao - organizer
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> Katamari
> •
> [email protected]
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> [email protected]
> *Changed: *Hi Griffin team,
>
> Setting up time to DEMO Griffin project and learn from your use cases.
> Feel free to include others on this invite.
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> Please note, the meeting is set at 9 AM Shanghai local time on Wednesday,
> 2/28 and 8 PM NY Local time on 2/27. Hope this time works for you. The
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> Look forward to connecting next week!
> Best,
> Sneha
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