Takes forever to send even small video files with high speed internet. Horrible documentation for transferring instructions. No option in the app menu to choose a destination folder. There's no way to compress all of your videos on an android to send to the Mac, even though that is suggested in their "features". And not 1 single video could I find in 2 hours of google searches that answered these questions. For a company touting such "ease of use", as a 40 year mac user, this was another waste of time app. If the company would like to contact me and answer these questions, if it is indeed an "easy, reliable app", I will gladly help them make a video that actually walks people through the problems I have encountered.
SnapDrop does an excellent job in sharing multiple files to another computer. Just zip/compress a folder with multiple files and select that zipped folder to send to the other computer or mobile device.
Based on our record, Snapdrop seems to be a lot more popular than Amazon EMR. While we know about 228 links to Snapdrop, we've tracked only 10 mentions of Amazon EMR. 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.
Https://snapdrop.net/ is a great solution that unlike KDE doesn't require installation. Along with https://webwormhole.io/ they are my go to for transferring assets between systems. Both use WebRTC. - Source: Hacker News / about 1 month ago
Snapdrop.net is one of many examples of the uses for this API, using it with WebSocket API allows endpoints on the same local network to distribute files and send data between them. We can find the source code for the project here. - Source: dev.to / 3 months ago
Here is a list of open source options. This isn't the first time I have shared this on here either. Perhaps this is another sign that web search is failing us. SnapDrop - Site: https://snapdrop.net/ - Source: https://github.com/RobinLinus/snapdrop - Source: https://github.com/szimek/sharedrop - Source: https://github.com/kern/filepizza - - Source: Hacker News / 4 months ago
Similar: I have been using https://snapdrop.net/ for a few years now. - Source: Hacker News / 5 months ago
Localsend for sharing files once in a while, snapdrop is an online alternative. Syncthing to sync folders between devices. Source: 7 months 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: 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
ShareDrop - HTML5 clone of Apple's AirDrop - easy P2P file transfer powered by WebRTC
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Syncthing - Syncthing replaces proprietary sync and cloud services with something open, trustworthy and...
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Send Anywhere - Send whatever you want, wherever you want
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost