Based on our record, GitHub seems to be a lot more popular than Google Cloud Dataproc. While we know about 2083 links to GitHub, we've tracked only 3 mentions of Google Cloud Dataproc. 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.
I know sometime you might have wondered how websites such as GitHub and Dev do to make their image and description appear when you share their links through social medias on even some messaging applications as illustrated here in WhatsApp. - Source: dev.to / about 13 hours ago
GitHub: Explore repositories and projects to see how others are using TypeScript and Angular for Gantt chart development. - Source: dev.to / about 15 hours ago
If you don't already have a GitHub account, go to GitHub's website and sign up for free. Once you have your account, you're ready to create a new repository. - Source: dev.to / 1 day ago
Another standout talk for me was from GitHub, which discussed challenges with its design system, Primer. They went into detail about how organisational changes have altered the course of its development and how they've had to adjust to the needs of the business over time to adapt and grow. As an engineering lead, I really resonated with this talk. - Source: dev.to / 3 days ago
I have a script that looks at your github org/team and generates/updates users on-demand then lets you connect. The script is pretty straightforward, see AuthorizedKeysCommand and https://github.com/{$user}.keys. - Source: Hacker News / 4 days ago
I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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 BigQuery - A fully managed data warehouse for large-scale data analytics.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...