Based on our record, Any.DO seems to be a lot more popular than Google Cloud Dataproc. While we know about 46 links to Any.DO, we've tracked only 3 mentions of Google Cloud Dataproc. 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.
Best thing it has over any.do is that you have 3 types of entities: tasks, recurring tasks and habits. Source: about 1 year ago
I used to use any.do + loop habit, but Habitnow has features from both of them. Source: about 1 year ago
A. Add reminders to the simple todo list in notion (so I can use it instead of any.do etc). Source: about 1 year ago
Has anyone found a workaround to keep using google home assistant to add tasks? The only one I found was to use any.do via zapier, but that only works with a $3 month subscription to any.do , which I definitely don't want to pay. Source: about 1 year ago
You know I tried a lot of things, todoist, any.do, meistertasks, notion, one note, google keep, microsoft excel, taskade and everything had some problem/flaw where I felt missing. I am still using google keep, all my raw material and quick thoughts are in it, but it cannot handle huge lists and starts becoming slow. It is just good for few lines. One note is also good but tagging and filters are not possible. I... Source: over 1 year 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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