Webpack VS Apache Spark

Webpack Reviews

Apache Spark Reviews

Webpack mentions (219)

• JS Toolbox 2024: Essential Picks for Modern Developers Series Overview

  In part 3 We jump into the world of bundlers, comparing webpack, esbuild, vite, and parcel 2. This section aims to guide developers through each bundler, focusing on their performance, compatibility, and ease of use. - Source: dev.to / 2 months ago

• Webpack: The Web Module Bundler

  Thats all about Webpack Basic, there are lots of feature of webpack, You can check here: https://webpack.js.org/. - Source: dev.to / 2 months ago

• How to improve page load speed and response times: A comprehensive guide

  Many web pages use CSS and JavaScript files to handle various features and styles. Each file, however, requires a separate HTTP request, which can slow down page loading. Concatenation comes into play here. It involves combining multiple CSS or JavaScript files into a single file. As a result, pages load faster, reducing the time spent requesting individual files. Gulp, Grunt, and Webpack are some of the tools... - Source: dev.to / 2 months ago

• Build a Vite 5 backend integration with Flask

  Once you build a simple Vite backend integration, try not to complicate Vite's configuration unless you absolutely must. Vite has become one of the most popular bundlers in the frontend space, but it wasn't the first and it certainly won't be the last. In my 7 years of building for the web, I've used Grunt, Gulp, Webpack, esbuild, and Parcel. Snowpack and Rome came-and-went before I ever had a chance to try them.... - Source: dev.to / 2 months ago

• Top 20 Frontend Interview Questions With Answers

  Webpack is a module bundler, the main purpose of which is to bundle JavaScript files to make them usable in a browser. - Source: dev.to / 3 months ago

Apache Spark mentions (56)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  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

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  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

• Go concurrency simplified. Part 4: Post office as a data pipeline

  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

• Five Apache projects you probably didn't know about

  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

• Spark – A micro framework for creating web applications in Kotlin and Java

  A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago