Based on our record, Git seems to be a lot more popular than Google Cloud Dataproc. While we know about 232 links to Git, 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.
Git is a distributed version control system that has become a standard tool in modern development practices. - Source: dev.to / 4 days ago
Git is the backbone for version control in our software development team. It allows us to track changes, revert to previous states, and efficiently manage multiple versions of project code. This tool is essential not only for its core functionality but also for supporting collaborative workflows among distributed team members. - Source: dev.to / 4 days ago
Before diving into the commands, ensure Git is installed on your machine. You can download it from the official Git website. - Source: dev.to / 8 days ago
Official Git Documentation: https://git-scm.com/ - The definitive source for all things Git, with in-depth explanations, commands, and tutorials. Interactive Git Training: https://learngitbranching.js.org/ - A hands-on platform to learn Git fundamentals and experiment with branching and merging in a simulated environment. Git SCM Blog: https://git-scm.com/ - Stay updated on the latest Git developments, news, and... - Source: dev.to / 18 days ago
Git: Version 2.28.0 or higher. Download from git-scm.com. - Source: dev.to / 20 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
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Mercurial SCM - Mercurial is a free, distributed source control management tool.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...