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Amazon EMR might be a bit more popular than i2pd (I2P Daemon). We know about 10 links to it since March 2021 and only 9 links to i2pd (I2P Daemon). 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.
I created an ansible role for i2pd. Basically, this allows system administrators who want to take part in the I2P network to automate i2pd deployment. Source: 11 months ago
> We are building network which helps people to communicate and share information without restrictions. > Free from censorship. Free from privacy violations. https://i2pd.website/ I2P is neither “for” nor “not for” piracy. I2P is for protecting communications and data from any kind of censorship. Filtering copyright violating content is a type of censorship. To some it is justified. To others it is not. To a... - Source: Hacker News / about 1 year ago
i2pd (version 2.46.1): Full-featured C++ implementation of I2P client. Source: about 1 year ago
C++ i2pd (download page) Regular client (or daemon) - similar to Tor proxy i2pd browser bundle - attempts to mimic Tor Browser. Source: over 1 year ago
Better than Tor, IMO. You can read more about i2p at https://geti2p.net, https://i2pd.website, and ask more in-depth questions in /r/i2p. Source: over 1 year 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: about 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: almost 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: almost 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
I2P - The I2P network provides strong privacy protections for communication over the Internet.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
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Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Yggdrasil - A proof-of-concept scalable IPv6 meshnet, featuring end-to-end encryption, a unique spanning tree...
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost