If you want uncensored.. https://gab.ai. - Source: Hacker News / 4 months ago

I don't understand how you can stop spam yet not have the structures in place to censor forbidden views or opinions. Without admin moderation you get 50 million flavours of porn (like old Usenet servers) some of which will be illegal porn, a massive slice of QAnon and conspiracy (like Odyssee and gab.ai), information and propaganda useful to terrorists (like the old totse.com) and dark web drug markets. Source: over 2 years ago

This already exists in the "Dissenter browser" made by the folks over at gab.ai. This could work as a third party extension, but direct support from Brave would instantly draw controversy as it's perceived that the only reason Dissenter exists is to support toxic radical right wingers. Source: over 2 years ago

I feel that there is still space for a platform for content creators which is away from any restrictions. I was talking to a lawyer friend of mine about drafting a user agreement which makes it impossible for anyone to sue any content creator or the platform, or for any government or group to force removal of content. but in the end we figured that we would need a back to back agreement with our service... Source: about 3 years ago

There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago

I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: about 2 years ago

This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

Check out https://aws.amazon.com/emr/. Source: about 2 years ago