Blockly might be a bit more popular than Apache Flink. We know about 30 links to it since March 2021 and only 29 links to Apache Flink. 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.
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 11 days ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 25 days ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 2 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - 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
If your kid is already doing Scratch, Blockly is a really easy next step. https://developers.google.com/blockly Critically, Blockly can emit JavaScript and Python, plus it supports plugins for extended functionality. So the kid can stay inside the blockly universe for as long as they like, but easily peer under the hood and get into Python or JavaScript as soon as they like. - Source: Hacker News / about 1 month ago
The issue with Alice is that graphical, block based coding is not at all an ergonomic way to code. Sure, C++ probably isn't the best for an intro CS courses, either, but even just Python with some wrappers over SDL to draw sprites is not only a better teaching tool it's also forms a more useful springboard to build other projects. Graphical, block based coding seems to be a common attempt to make coding more... - Source: Hacker News / 7 months ago
Unless it would contradict canon, every stage is very bright, highly interactive, full of pre-placed items, and so huge that you can usually run from your NPC opponents and enjoy exploring the stage in peace while they catch up to you. All buildings have Linux computers with actual internet access that allow you to program and print out your own projectiles/books/flags/UNO reverse cards/shinigami eyes/soupcans/cis... Source: 10 months ago
If your kids tinker with Scratch, try out TurboWarp[1], a Scratch mod that compiles projects to JavaScript. Other alternatives to tinker with are Blocky[2] and Snap[3]. 1. https://turbowarp.org 2. https://developers.google.com/blockly/ 3. https://snap.berkeley.edu. - Source: Hacker News / about 1 year ago
Google made bockly It works with 5 languages. I think #C PHP and JavaScript. I know JavaScript for sure . But not sure about the others. blockly. Source: over 1 year ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Scratch - Scratch is the programming language & online community where young people create stories, games, & animations.
Spark Mail - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues
Grails - An Open Source, full stack, web application framework for the JVM