WeTransfer
Dropbox
Send Anywhere
Mega
Google Drive
MediaFire
Box
Wormhole.app
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
WeTransfer Amazon EMRBased on our record, WeTransfer seems to be a lot more popular than Amazon EMR. While we know about 245 links to WeTransfer, 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.
That's super weird. Share the Marvelous garment, or just the sleeve,should be enough. I'll have a look. Source: 6 months ago
Https://wetransfer.com/ My wife has an Iphone and I have a pixel 8 pro, we use this platform to send images to each other without losing quality. Source: 6 months ago
Record a short video, good resolution (OBS), of you working, so that I see how you do all that. And if it doesn't help really understanding your problem (I guess it will) then send me a link to that file, I'll have a look. Source: 6 months ago
Vogels intertwined financial savings with environmental responsibility, articulating how minimizing cloud usage correlates with a reduced ecological footprint. He cited WeTransfer as an example, showcasing their remarkable 78% reduction in environmental impact through streamlined server resource consumption, earning them recognition as a Certified B Corporation. - Source: dev.to / 7 months ago
I upload lots of stuff and I find I have trouble getting past 60mbit upload speed on most drive websites. The only website that I even remotely used close to my potential upload speed is wetransfer.com with ~700mbit. Source: 8 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
Dropbox - Online Sync and File Sharing
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Send Anywhere - Send whatever you want, wherever you want
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Mega - Secure File Storage and collaboration
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost