Based on our record, GitHub seems to be a lot more popular than Apache Flink. While we know about 2071 links to GitHub, we've tracked only 30 mentions of 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.
Have an github account, if not create one https://github.com. - Source: dev.to / 3 days ago
Git for version control and GitHub for storing remote versions of the repository. - Source: dev.to / 5 days ago
Image Registry Account: Sign up for an account on GitHub, DockerHub, or any other container image registry. You'll use this account to store and manage your container images. - Source: dev.to / 6 days ago
I think it would be more reasonable to judge whether it is promotion according to its content, quality, purpose, instead of domain name. I totally agree one should get flagged if one posts the same product or application for the same use case again and again. But in my situation, they are different tools for different use cases. I don't think this demo would get flagged if it was uploaded and presented in the... - Source: Hacker News / 7 days ago
Steps: - name: Generate summary run: | echo "Pull Request for [${{ github.event.pull_request.title }}](https://github.com/${{ github.repository }}/pull/${{ github.event.pull_request.number }}) has been updated 🎉" >> $GITHUB_STEP_SUMMARY echo "Image tagged **v${{ needs.determine_app_version.outputs.app_version }}** has been built and pushed to the registry." >> $GITHUB_STEP_SUMMARY This will... - Source: dev.to / 8 days ago
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 3 days ago
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 / 23 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 / about 1 month 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 / 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
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.