nellaivijay / awesome-my-notes
A comprehensive repository for generative AI research, platform engineering, updates, data and software engineering, system design and architecture, interview resources, notebooks, and much more!
☆20Updated last month
Alternatives and similar repositories for awesome-my-notes:
Users that are interested in awesome-my-notes are comparing it to the libraries listed below
- Awesome list of dataops products, open source and resources☆24Updated 2 years ago
- A curated list of awesome Databricks resources, including Spark☆17Updated 9 months ago
- Analytics engineering with dbt - projects and developer environment☆18Updated 6 months ago
- ☆18Updated 3 years ago
- Use GitHub to facilitate automation, collaboration and reproducibility in your machine learning workflows.☆24Updated 2 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 4 years ago
- Self-study plan to achieve mastery in data science☆26Updated 2 years ago
- Intended for internal use: deploys all infrastructure required for Astronomer to run on GCP☆10Updated 8 months ago
- Data engineering interviews Q&A for data community by data community☆63Updated 4 years ago
- Skeleton project for Apache Airflow training participants to work on.☆16Updated 4 years ago
- Data Orchestration Platform☆64Updated 3 years ago
- Full stack data engineering tools and infrastructure set-up☆51Updated 4 years ago
- Finance 🏦 Data Builder 🛠️ @ postgres 🐘☆21Updated 4 years ago
- A curated list of awesome open source tools and commercial products to catalog, version, and manage data 🚀☆32Updated 2 years ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆48Updated 3 months ago
- An app that makes it easy to connect to a user's data warehouse and make a dashboard out of it.☆15Updated 3 years ago
- Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt☆25Updated 4 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Build & Learn Data Engineering,Machine Learning over Kubernetes. No Shortcut approach.☆57Updated 2 years ago
- Sample configuration to deploy a modern data platform.☆88Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 3 months ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated 10 months ago
- ☆84Updated 2 years ago
- Code Repository for GCP: Complete Google Data Engineer and Cloud Architect Guide(v), Published by Packt☆16Updated 2 years ago
- ☆31Updated 6 years ago
- ☆21Updated 3 years ago
- An End to End Customer Churn Prediction solution using AWS services.☆40Updated 2 years ago
- An example MLFlow project☆48Updated 3 months ago
- Awesome list of resources for analytics engineers☆25Updated 3 years ago
- Apache Spark Guide☆31Updated 3 years ago