Based on our record, React seems to be a lot more popular than Amazon EMR. While we know about 814 links to React, 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.
One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget – a theme echoed in several indie hacking success stories. - Source: dev.to / 20 days ago
Next.js is a very popular framework built on top of the React.js library and it provides the best Development Experience for building applications. It offers a bunch of features like:. - Source: dev.to / about 1 month ago
Explore the official React documentation. - Source: dev.to / about 2 months ago
We’ll be creating the components package inside the packages directory. In this monorepo package, we’ll be building React components which will be consumed by our Next.js application (front-end package). - Source: dev.to / about 2 months ago
After evaluating our options including upgrading from AngularJS to Angular (the name for every version of Angular 2 and beyond) or migrating and rewriting our application in a completely new JavaScript framework: React. We ultimately chose to go with ReactJS. - Source: dev.to / about 2 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 2 years 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 3 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 3 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 3 years ago
Check out https://aws.amazon.com/emr/. Source: about 3 years ago
Vue.js - Reactive Components for Modern Web Interfaces
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Next.js - A small framework for server-rendered universal JavaScript apps
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Svelte - Cybernetically enhanced web apps
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.