Apache Flink Reviews

GitHub Reviews

1. Reinhard

   | Boss at CLOUD Meister | over 3 years ago
   perfect 4 open Source

Apache Flink mentions (29)

• Array Expansion in Flink SQL

  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 / 15 days ago

• Show HN: An SQS Alternative on Postgres

  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 / 29 days ago

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  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

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  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

• 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 / 6 months ago

GitHub mentions (2064)

• Yes. You can deploy Nuxt on Firebase App Hosting (2024)

  The final part in the code editor is to push the new code to GitHub. Thus Firebase will be able to fetch and build our app with its CI/CD. - Source: dev.to / 14 days ago

• Heroku Reviews Apps prevent delivering bugs on production

  Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. It’s then super easy for anyone to try the new code. - Source: dev.to / 2 days ago

• The Ultimate beginners guide to open source – part 2: ways to find open source projects to contribute to

  Third way: go to github.com, click on filter, and then select repositories and recommendations. GitHub will recommend repositories that they think you will be interested in. If you also select repository activity, you will be able to see what the people you follow on GitHub are contributing to, and you can then check out those projects. - Source: dev.to / 6 days ago

• Cargo Actions: An efficient tool for managing and creating GitHub Actions workflow templates

  Create a project using the GitHub repository URL, and you can omit the https://github.com/ prefix. By default, the workflow template in https://github.com/yexiyue/cargo-actions will be used. - Source: dev.to / 7 days ago

• Staying Up-to-Date with the Latest AI Developments and Trends

  . Kaggle: For competitions and datasets. . GitHub: For open source projects and collaboration. . Colab: Google’s platform for building and sharing machine learning models. - Source: dev.to / 10 days ago