GitHub
GitLab
BitBucket
VS Code
Treehouse
Git
Pantheon
CodePen
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Qubole
Google Cloud Dataproc
Snowflake
Databricks
HortonWorks Data Platform
GitHub Amazon EMRAmazon EMR is recommended for data engineers, data scientists, and IT professionals who need to manage and process large datasets in a scalable, efficient, and cost-effective manner. It is especially suitable for businesses that are already using AWS services and want to leverage a tightly integrated ecosystem. Additionally, it is a good choice for organizations that require rapid and flexible data analysis capabilities provided by frameworks such as Hadoop, Spark, HBase, and Presto.
Based on our record, GitHub seems to be a lot more popular than Amazon EMR. While we know about 2264 links to GitHub, we've tracked only 10 mentions of Amazon EMR. 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.
In open source and innersource projects, like the ones that you find on GitHub, GitLab, and Bitbucket, the README document is the project's welcome page. It's the first thing people see when they search for a project. README documents describe what the project is, how you use it, and how you can add to it. If you want your project to be successful, your README document must give a good first impression. - Source: dev.to / about 4 hours ago
Enhanced Community Governance and Collaboration: Future developments may involve more dynamic community governance models that can aid in rapid consensus on licensing modifications and dispute resolution. Platforms like GitHub and LinkedIn foster these discussions, enabling real-time collaboration on licensing challenges. - Source: dev.to / 7 days ago
Community-Driven Updates: Regular feedback from communities on platforms like Stack Overflow and GitHub will drive continuous refinement. - Source: dev.to / 7 days ago
Community contributions not only help in the evolution of technology, but also in refining legal documents. Platforms like GitHub and Stack Overflow foster open discussions that pave the way for better licensing practices. A more dynamic integration of community feedback could lead to a more balanced model of fair code licensing in the near future. - Source: dev.to / 7 days ago
Smaller community projects and developer toolkits have also benefited from this licensing model. For instance, projects hosted on GitHub that value transparency and fair compensation have chosen this license to foster a collaborative environment. Discussions on Stack Overflow reveal that developers appreciate a model that balances both innovation and legal protection. - Source: dev.to / 8 days ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 2 years ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 3 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 3 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 3 years ago
Check out https://aws.amazon.com/emr/. Source: about 3 years ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.