Based on our record, Pure Data should be more popular than Amazon EMR. It has been mentiond 38 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.
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
My most recommended method for beginners has always been PD (https://puredata.info/) combined with The Theory and Technique of Electronic Music: (https://msp.ucsd.edu/techniques/latest/book.pdf) and this book (https://mitpress.mit.edu/9780262014410/designing-sound/). Eli's tutorials on SuperCollider are also very helpful: https://www.youtube.com/@elifieldsteel Of course, my project Glicol can also be helpful for... - Source: Hacker News / 8 days ago
For node based workflows, check out Max or Pure Data. https://cycling74.com/products/max https://puredata.info/. - Source: Hacker News / 4 months ago
Tools like Ossia Score, Chataigne and PureData (pd) can also help a ton in building interactive art and triggering other A/V software. Source: about 1 year ago
WebPd is a highly modular compiler for audio programming language Pure Data allowing to run .pd patches on web pages. It converts the audio graph and processing objects from a patch into plain human-readable JavaScript or WebAssembly which can then be integrated directly into any web application. Source: about 1 year ago
You might also be interested in the very different Pure Data (http://puredata.info/) environment, which is also free and open-source. It uses a visual programming approach, which many people like but if you are already a programmer it might seem inconvenient in comparison. Source: about 1 year ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
SuperCollider - A real time audio synthesis engine, and an object-oriented programming language specialised for...
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
TouchDesigner - TouchDesigner is a visual development platform that equips you with the tools you need to create stunning realtime projects and rich user experiences.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
VCV Rack - A cross-platform modular synthesizer.