diff --git a/MachineLearning.md b/MachineLearning.md index 8b8fe25..bb40410 100644 --- a/MachineLearning.md +++ b/MachineLearning.md @@ -41,3 +41,5 @@ - [Roadmap: How to Learn AI in 2024 (Notion page)](https://gilded-enquiry-cb8.notion.site/Roadmap-How-to-Learn-AI-in-2024-a9e105c14c0f4915913b8cb2eccc7ff2): A notion page with extensive resources about learning AI. - [Applied Data Science and Machine Learning Lab](https://www.wqu.edu/ai-lab-computer-vision-apply): Learn the fundamentals of data science, entirely free. By completing a series of end-to-end data science projects, students build the wrangling, analysis, model-building, and communication skills to prepare for success in data-centric careers. + +- AI Code Assistant: https://cursor.sh — A powerful AI coding tool to improve development productivity. diff --git a/Snowflake.md b/Snowflake.md index 9aa8d98..29c4dc7 100644 --- a/Snowflake.md +++ b/Snowflake.md @@ -1,35 +1,33 @@ -[**Back**](/README.md/) - -# Snowflake - -Snowflake is a cloud-based data warehousing platform that enables organizations to store, manage, and analyze vast amounts of data. Here are its key features: - -Architecture: Snowflake uses a unique architecture that separates storage and compute, allowing for scalable and flexible performance. Users can scale resources up or down as needed without downtime. - -Data Sharing: It facilitates seamless data sharing between different Snowflake accounts without the need for complex data movement or replication. - -Multi-cloud Support: Snowflake runs on major cloud providers like AWS, Azure, and Google Cloud, offering flexibility in deployment. - -Automatic Scaling: The platform automatically scales resources based on workload demands, optimizing performance and cost. - -Data Integration: Snowflake supports various data formats and integrates easily with data ingestion tools, making it easier to load and transform data. - -Security and Compliance: It includes robust security features like encryption, access controls, and compliance with various regulations. - -SQL Support: Snowflake uses standard SQL, making it accessible for users familiar with SQL querying. - -Resource for Snowflake : - -1. **Official Documentation**: The [Snowflake Documentation](https://docs.snowflake.com/en/) is comprehensive and covers everything from getting started to advanced features. - -2. **Tutorials and Quickstarts**: Snowflake offers [tutorials](https://docs.snowflake.com/en/user-guide/getting-started.html) that guide you through common tasks and scenarios. - -3. **Community and Forums**: Engage with the [Snowflake Community](https://community.snowflake.com/) for discussions, tips, and shared knowledge from other users. - -4. **Webinars and Events**: Snowflake frequently hosts [webinars](https://www.snowflake.com/webinars/) on various topics, which can be a great way to learn from experts. - -5. **Training and Certification**: Consider the [Snowflake Training](https://www.snowflake.com/training/) programs for structured learning and potential certification. - -6. **YouTube Channel**: The [Snowflake YouTube channel](https://www.youtube.com/c/snowflake) has many videos that cover features, use cases, and best practices. - - +[**Back**](/README.md/) + +# Snowflake + +Snowflake is a cloud-based data warehousing platform that enables organizations to store, manage, and analyze vast amounts of data. Here are its key features: + +Architecture: Snowflake uses a unique architecture that separates storage and compute, allowing for scalable and flexible performance. Users can scale resources up or down as needed without downtime. + +Data Sharing: It facilitates seamless data sharing between different Snowflake accounts without the need for complex data movement or replication. + +Multi-cloud Support: Snowflake runs on major cloud providers like AWS, Azure, and Google Cloud, offering flexibility in deployment. + +Automatic Scaling: The platform automatically scales resources based on workload demands, optimizing performance and cost. + +Data Integration: Snowflake supports various data formats and integrates easily with data ingestion tools, making it easier to load and transform data. + +Security and Compliance: It includes robust security features like encryption, access controls, and compliance with various regulations. + +SQL Support: Snowflake uses standard SQL, making it accessible for users familiar with SQL querying. + +Resource for Snowflake : + +1. **Official Documentation**: The [Snowflake Documentation](https://docs.snowflake.com/en/) is comprehensive and covers everything from getting started to advanced features. + +2. **Tutorials and Quickstarts**: Snowflake offers [tutorials](https://docs.snowflake.com/en/user-guide/getting-started.html) that guide you through common tasks and scenarios. + +3. **Community and Forums**: Engage with the [Snowflake Community](https://community.snowflake.com/) for discussions, tips, and shared knowledge from other users. + +4. **Webinars and Events**: Snowflake frequently hosts [webinars](https://www.snowflake.com/webinars/) on various topics, which can be a great way to learn from experts. + +5. **Training and Certification**: Consider the [Snowflake Training](https://www.snowflake.com/training/) programs for structured learning and potential certification. + +6. **YouTube Channel**: The [Snowflake YouTube channel](https://www.youtube.com/c/snowflake) has many videos that cover features, use cases, and best practices.