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Apache Spark might be a bit more popular than rollup.js. We know about 56 links to it since March 2021 and only 44 links to rollup.js. 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.
Unlike Webpack, the Vite DevServer only compiles files when they are requested. It leverages ES module imports, which allow JS files to import other files without needing to bundle them together during development. When one file changes, only that file needs to be re-compiled, and the rest can remain unchanged. Project files are compiled with Rollup.js. Third-party dependencies in node_modules are pre-compiled... - Source: dev.to / 3 months ago
Besides Webpack, there are many other popular web bundlers available, such as Parcel, Esbuild, Rollup, and more. They all have their own unique features and strengths, and you should make your decision based on the needs and requirements of your specific project. Please refer to their official websites for details. - Source: dev.to / 6 months ago
In the Node.js ecosystem, bundling is typically handled by third-party tools rather than Node.js itself. Some of the most popular bundlers in the Node.js world include Webpack, Rollup, and Parcel, offering features like code splitting, tree shaking, and hot module replacement. - Source: dev.to / 8 months ago
Rollup is another popular JavaScript module bundler focusing on high performance. It excels at tree-shaking and uses ES module syntax to generate more performant bundles than traditional module bundlers. In addition to JavaScript, Rollup supports bundling CSS and JSON as well. Rollup has more than 12 million weekly NPM downloads. - Source: dev.to / 11 months ago
Vite (read as vit) is actually a combination of two great frontend tools - an immensely fast development server and a build command for shipping heavily optimized static assets using Rollup. Many developers have encountered the process of setting up a project using Create React App. While CRA can be useful for beginners due to its simplicity and abstraction of configuration, it has some drawbacks that outweigh its... - Source: dev.to / 12 months 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 / 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 / 4 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 / 5 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 / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
npm - npm is a package manager for Node.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Parcel - Blazing fast, zero configuration web application bundler
Hadoop - Open-source software for reliable, scalable, distributed computing