I've created this repository as a space to explore and compare different Business Intelligence (BI) tools and data stack technologies. My goal is to:

• Evaluate the strengths and weaknesses of various BI tools and data stack combinations.
• Discover optimal solutions for diverse data management and analysis needs.
• Document my findings in a clear and concise manner to share valuable insights with the community.

I'll be continuously adding to this repository as I experiment with different technologies. Here's what you can expect to find:

• Technologies Explored: A list and brief descriptions of the BI tools and data stack components I'm investigating.
• Experiment Setups: Documentation of each experiment setup, including:
  • Chosen BI tools and data stack components.
  • Configuration details for each component.
  • Usage examples and code snippets.
• Evaluation Results: My analysis of each experiment, highlighting:
  • Ease of use and setup.
  • Performance and scalability.
  • Feature set and integration capabilities.
  • Overall suitability for specific scenarios.
• Discussion: Open-ended discussion points and questions to stimulate thought and collaboration.

I encourage contributions and feedback! Feel free to open issues or pull requests to share your experiences, suggest additional technologies to explore, or refine my approaches.

Getting Started:

If you're interested in following along or contributing, consider the following:

• Understanding BI and Data Stacks: Familiarize yourself with the fundamentals of BI tools and data stack architecture.
• Technical Skills: Some technical knowledge, particularly in data pipelines and software development, would be beneficial.
• Contributing: Refer to the CONTRIBUTING.md file for guidelines on how to contribute your findings and code.

Let's embark on this journey of discovery together to uncover the best combinations of BI tools and data stacks for various data-driven needs!