Homebrew
iTerm2
Chocolatey
VS Code
Rectangle
Scoop
AppCleaner
GitHub
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
Homebrew DatabricksHomebrew is recommended for developers, system administrators, and power users who require a straightforward and efficient method to manage software packages and dependencies on macOS or Linux.
Based on our record, Homebrew seems to be a lot more popular than Databricks. While we know about 944 links to Homebrew, we've tracked only 18 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.
If you don't have Python 3.10+, install it (on Mac) via Homebrew:. - Source: dev.to / 24 days ago
Aerospace is a menu bar application, but you canโt download it from an App Store or get it as a DMG file. You need a package manager. Go to the Homebrew website and follow the installation guide. Make sure to accurately follow the on-screen instructions. This may include any of the following:. - Source: dev.to / about 1 month ago
Docker, Distrobox, Flatpak, and a bit of Homebrew where it makes sense. - Source: dev.to / about 2 months ago
Claude Code: official docs: https://docs.anthropic.com/... expected package: @anthropic-ai/claude-code Node.js: official site: https://nodejs.org/ internal mirror: https://nexus.example.com/... Homebrew: official site: https://brew.sh/. - Source: dev.to / 2 months ago
For this setup, I used Homebrew. If you do not have Homebrew installed yet, you can install it from: Https://brew.sh/. - Source: dev.to / 2 months ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs 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 3 years 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 4 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 4 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 4 years ago
iTerm2 - A terminal emulator for macOS that does amazing things.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Chocolatey - The sane way to manage software on Windows.
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.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
