Based on our record, Signal seems to be a lot more popular than Amazon EMR. While we know about 180 links to Signal, 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.
Just so you know: https://grapheneos.org/ and https://signal.org/ do exist! - Source: Hacker News / 2 months ago
Signal works the same but without the user tracking from Meta/Facebook. Many people use it as well but I'm surprised that a majority sticks to WhatsApp. Source: 5 months ago
A question I often get is "Well are my text messages safe" The short answer is... Maybe? Depends on what type of phone you use, your carrier, and a bunch of other factors. One way to avoid this is to use an end-to-end encrypted text service like Signal if that is a concern of yours. VERY IMPORTANT NOTES: Telegram and WhatsApp are not secure. The way to think of this security is that if is retained by a server... Source: 5 months ago
The linked page is on signalusers.org, but Signal's regular home site is https://signal.org/. I'm looking all over signal.org for some link from there to signalusers.org, as that would make me more relaxed about the authenticity of the latter -- i.e., that it really is run by the same people who run signal.org. Yes, maybe I'm being paranoid. But we're talking about an app whose whole purpose is secure... - Source: Hacker News / 6 months ago
WhatsApp and Signal: Of course I’m going to conclude with the point to point encrypted communication apps Signal and WhatsApp. Most of our clients around the world communicate in these apps more than they make phone calls or send emails. Set up an account in each app and start leveraging the text, photo, phone and video features to have easy and fast conversations with your global contacts. See https://signal.org... Source: 11 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: 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: almost 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
Telegram - Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
WhatsApp - WhatsApp Messenger: More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Element.io - Secure messaging app with strong end-to-end encryption, advanced group chat privacy settings, secure video calls for teams, encrypted communication using Matrix open network. Riot.im is now Element.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost