Based on our record, GitHub seems to be a lot more popular than Apache Spark. While we know about 2071 links to GitHub, we've tracked only 57 mentions of Apache Spark. 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 / 4 days ago
Git for version control and GitHub for storing remote versions of the repository. - Source: dev.to / 6 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 / 7 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
In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / about 7 hours ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 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 / 6 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Hadoop - Open-source software for reliable, scalable, distributed computing