Based on our record, Git seems to be a lot more popular than Databricks. While we know about 233 links to Git, we've tracked only 17 mentions of Databricks. 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.
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 / 6 days ago
Git is a distributed version control system that has become a standard tool in modern development practices. - Source: dev.to / 11 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 / 11 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 / 15 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 / 24 days ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 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.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Mercurial SCM - Mercurial is a free, distributed source control management tool.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.