I2P
Freenet
Tor Browser
OpenVPN
Psiphon
Hotspot Shield
Yggdrasil
ZeroNet
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Databricks
Google Cloud Dataproc
Qubole
Snowflake
HortonWorks Data Platform
Amazon EMRBased on our record, I2P should be more popular than Amazon EMR. It has been mentiond 48 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.
The SSL certificate of https://download.i2p2.no expired on 29.08.2023. Therefore no downloads from the official https://geti2p.net site are available over https. Is this problem known? Source: 9 months ago
They probably got harassed and don't have the man power to act. Great moment to give I2P https://geti2p.net/en/ a look as a viable alternative for torrents. Some clients already support both systems. Source: about 1 year ago
There's a few abstractions of the web you can use today. https://freenetproject.org/ https://geti2p.net/en/ https://www.gnunet.org/en/ https://www.ipfs.tech/. - Source: Hacker News / about 1 year ago
Aside from being very secure, it will also be much faster than Tor overall. The best way to explain I2P is as a internet within an internet. One thing to mention is I2P does not hide the fact you are using the service at all. If you don't like Tor for some reason, this is another option to check out. I2P Link: https://geti2p.net/en/. Source: about 1 year ago
If you really want to go down that route, I2P is probably your best bet these days. https://geti2p.net/en/. Source: about 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: 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
Freenet - Mae-enjoy mo na ang LIBRENG INTERNET ACCESS mula sa freenet! Ang libreng net na bet! freenet is an app where you can access the internet for free. Get 24/7 free access to our partner apps and sites. FREE INTERNET!
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Tor Browser - Tor is free software for enabling anonymous communication.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
OpenVPN - OpenVPN - The Open Source VPN
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
