Apache Storm Reviews and details

Social recommendations and mentions

• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

  There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago

• Real Time Data Infra Stack

  Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 1 year ago

• In One Minute : Hadoop

  Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year ago

• Elon Musk reportedly wants to fire 75% of Twitter’s employees

  Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 1 year ago

• Spark for beginners - and you

  Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago

• Jinja2 not formatting my text correctly. Any advice?

  ListItem(name='Apache Storm', website='https://storm.apache.org/', category='Stream Processing', short_description='Apache Storm is an open-source distributed stream processing computation framework written predominantly in the Clojure programming language.'),. Source: over 2 years ago

• Dreaming and Breaking Molds – Establishing Best Practices with Scott Haines

  So Yahoo bought that. I think it was 2013 or 2014. Timelines are hard. But I wanted to go join the Games team and start things back up. But that was also my first kind of experience in actually building recommendation engines or working with lots of data. And I think for me, like that was, I guess...at the time, we were using something called Apache Storm. We had Hadoop, which had been around for a while. And it... - Source: dev.to / over 2 years ago

• Do You Know Where Lisp Is Used Nowadays?

  Apache Storm is a distributed tool for real-time processing of large data volumes. The project is based on Clojure and Java and was open-sourced under Apache License 2.0 after it was purchased by Twitter. Interoperability with Java is the main feature of Clojure that allows integrating the Clojure code into any project already written in Java. - Source: dev.to / over 2 years ago

• Aggregate streaming data in real-time with WebAssembly

  Finally, we are beginning to see some real back end applications of wasm apart from envoy proxy. This seems very similar to apache storm [1], where users can define UDFs (user defined functions) on their streams. Although, I dont understand whats the value add of wasm (apart from security) if the user still has to write code in Rust -> wasm. Why not just execute in rust alone? [1] https://storm.apache.org/. - Source: Hacker News / over 2 years ago

• 5 Best Big Data Frameworks You Can Learn in 2021

  Both Fortune 500 and small companies are looking for competent people who can derive useful insight from their huge pile of data and that's where Big Data Framework like Apache Hadoop, Apache Spark, Flink, Storm, and Hive can help. - Source: dev.to / about 3 years ago

• 7 Real-Time Data Streaming Tools You Should Consider On Your Next Project

  Storm is a popular distributed real-time computation system that works for big data with a simple processing model to carry out powerful abstractions. This framework --- made an open source project by Twitter --- has been touted as the real-time Hadoop. - Source: dev.to / about 3 years ago