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Based on our record, Google Cloud Dataflow should be more popular than i2pd (I2P Daemon). It has been mentiond 14 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.
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: over 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
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 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year 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 1 year 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 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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Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Yggdrasil - A proof-of-concept scalable IPv6 meshnet, featuring end-to-end encryption, a unique spanning tree...
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?