Based on our record, Discourse should be more popular than Google Cloud Dataproc. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
GitHub Discussions can also be a great place for support as long as these are regularly monitored. Another option along the same lines is Discourse and the Open Source Matrix which is used by quite a few Open Source and community-based projects. - Source: dev.to / 3 months ago
A lot of communities use [Discourse ](https://discourse.org). [LPSF](https://forum lpsf.org) migrated to it when Yahoo Groups was discontinued. Some of the advantages are that it's open source, self-hostable, and can be configured to work as both a traditional mailing list and modern forum. - Source: Hacker News / 3 months ago
More like https://discourse.org/. You can run it yourself, but I can also just have them ding a credit card every month and not think about it again (I do this for a community). - Source: Hacker News / 7 months ago
Discourse perhaps? I've seen it in use in a few places; it has a modern look and feel to it at least. https://discourse.org/. - Source: Hacker News / 10 months ago
I fully agree with you see my comment here[0] -- I think you may have misread my comment, it says "Discourse" (as in the forum software[1]), not Discord. [0]: https://news.ycombinator.com/item?id=37245220. - Source: Hacker News / 10 months ago
I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago
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