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In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / about 2 months ago
Many stream processing systems today still rely on local disks and RocksDB to manage state. This model has been around for a while and works fine in simple, single-tenant setups. Apache Flink, for example, uses RocksDB as its default state backend - state is kept on local disks, and periodic checkpoints are written to external storage for recovery. - Source: dev.to / 3 months ago
Because the hosted catalog is a standard JDBC catalog, tools like Spark, Trino, and Flink can still access your tables. For example:. - Source: dev.to / 3 months ago
I wrote a python based aircraft monitor which polls the adsb.fi feed for aircraft transponder messages, and publishes each location update as a new event into an Apache Kafka topic. I used Apache Flink โ and more specially Flink SQL, to transform and analyse my flight data. The TL;DR summary is I can write SQL for my real-time data processing queries โ and get the scalability, fault tolerance, and low latency... - Source: dev.to / 4 months ago
Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 5 months ago
Express.js docs - Still the best place to learn. - Source: dev.to / 21 days ago
Implementation: Use libraries or server configurations to enable gzip and Brotli. Examples include Flask, Gin, and Express setups. - Source: dev.to / about 1 month ago
I emphasize this aspect because it's rather simple to create a Backend application with Express or Fastify. Moreover, these libraries are quite efficient for manipulating HTTP requests and responses, often by simplifying JSON serialization, HTTP status management, or REST routing. - Source: dev.to / 3 months ago
First, we will install Express.js and Socket.io using the below command:. - Source: dev.to / 3 months ago
๐ Who Should Use HTMX? โ Django / Flask / Rails developers โ Express / Node.js backend lovers โ Fullstack devs who want LESS frontend headache โ Teams jo SSR + SEO ko priority dete hain. - Source: dev.to / 4 months ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Django - The Web framework for perfectionists with deadlines