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Based on our record, Databricks should be more popular than Commit Print. It has been mentiond 17 times since March 2021. 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.
Speaking of contributions, there are lots of ways you can celebrate your 2021 achievements. Get your contributions printed on a tshirt, hoodie, tote, or mug with GitMerch or on a poster with Commit Print. These are great ideas for Christmas gifts or if you're looking for something to spice up your home office for 2022. - Source: dev.to / over 2 years ago
Who doesn't like to go down memory lane? Affirm a software engineer of their technical and career growth with a shirt, poster, or 3D model of their GitHub contribution graph. - Source: dev.to / over 2 years ago
You know you can make a poster out of it right? Https://commitprint.com. Source: over 2 years 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
Commits.io - Create a poster for your office using your code
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
CommitTasks - A small CLI tool that combines git commit and todo list 🛠📝
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.
Craft & Oak - Beautiful, minimalistic custom map posters
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.