Based on our record, Git seems to be a lot more popular than Google Cloud Dataflow. While we know about 233 links to Git, we've tracked only 14 mentions of Google Cloud Dataflow. 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.
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 2 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 2 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
The git repo is on kernel.org nowadays with mirrors on repo.or.cz and GitHub. But I think they mean here what the official git project ‘site’ is with docs and so on. And that is now https://git-scm.com/ and indeed as the article describes that was initially set up by GitHub people, to promote git. - Source: Hacker News / 3 days ago
Git is a distributed version control system that has become a standard tool in modern development practices. - Source: dev.to / 8 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 / 8 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 / 12 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 / 22 days ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
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.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.