StatCounter might be a bit more popular than Google Cloud Dataflow. We know about 16 links to it since March 2021 and only 14 links to Google Cloud Dataflow. 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.
StatCounter — Website Viewer Analytics. Free plan for analytics of 500 most recent visitors. - Source: dev.to / over 1 year ago
Could someone explain what I'm looking at? I think this is from `https://statcounter.com/` (?), but that site doesn't load for me at the moment, and there's no readme or description on that (1 star) repo, or its associated account. That partial data is very likely to regress to the mean over the rest of the month- though it's good to see high linux usage (on whatever metric this is tracking). - Source: Hacker News / over 1 year ago
If what you want to see is "visitors" to different pages and not specific IP addresses and you are wary of jumping into Google Analytics, I was just recommended the free version of Statcounter. Source: almost 2 years ago
Running PiHole and Unbound on a raspberry pie and https://statcounter.com refuses to load even after adding the domain to the white list. Source: about 2 years ago
StatCounter Http://statcounter.com/ Analytics Free, quick, and lightweight analytics solution. Often used by those who want to avoid using Google Analytics for privacy reasons. Source: about 2 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
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