Based on our record, Node.js seems to be a lot more popular than Apache Spark. While we know about 785 links to Node.js, we've tracked only 56 mentions of Apache Spark. 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.
Have Node and Yarn installed with a recent version. - Source: dev.to / 4 days ago
Ensure that you have Node.js installed on your computer by visiting the official Node.js website [https://nodejs.org/en] and downloading the appropriate version for your operating system. - Source: dev.to / 7 days ago
Node.js and npm: Install Node.js and npm to manage packages and dependencies for your project. - Source: dev.to / 9 days ago
To install the environment, simply download Node.js from the official website: Node.js Official Website. - Source: dev.to / 11 days ago
This article contrasts two whales: Next.js vs Node.js. Both projects are open-source but have different use cases. Next is React-based, which supports static and server-rendered pages, helping build dynamic and hybrid applications thanks to its automatic static optimization feature. Node is a runtime environment for implementing JavaScript code outside the browser, particularly on the server. - Source: dev.to / 17 days ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Django - The Web framework for perfectionists with deadlines
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Hadoop - Open-source software for reliable, scalable, distributed computing