Data Engineering Design Principles from AWS-Part 3
Get an in-depth look at the key topics covered in the AWS Academy's Data Engineering module including: Comparing analytics vs AI/ML pipelines Layers of a data pipeline Data transformation actions Data engineer vs data scientist roles Building & modernizing data infrastructure Breaking down data silos Innovation opportunities Useful for anyone going through the AWS Academy program or wanting an overview of fundamental data engineering concepts. We explain the core curriculum objectives in detail and connect the foundational ideas organizations need to leverage to become data-driven.
Show Notes
Hey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology!
Hands-On Courses for Rust, Data, Cloud, AI and LLMs 🚀
- Rust Programming Specialization: https://www.coursera.org/specializations/rust-programming
- Rust for DevOps: https://www.coursera.org/learn/rust-for-devops?specialization=rust-programming
- Rust LLMOps: https://www.coursera.org/learn/rust-llmops?specialization=rust-programming
- Rust Fundamentals: https://www.coursera.org/learn/rust-fundamentals
- Data Engineering with Rust: https://www.coursera.org/programs/duke-university-on-coursera-obsio/learn/data-engineering-rust
- Python and Rust with Linux Command Line Tools: https://www.coursera.org/learn/python-rust-linux
- Virtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineering
- Cloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke
- MLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke
- Data Visualization with Python: https://www.coursera.org/learn/data-visualization-python
- Linux and Bash for Data Engineering: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke
- Spark, Hadoop, and Snowflake for Data Engineering: https://www.coursera.org/learn/spark-hadoop-snowflake-data-engineering
- Cloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-virtualization-containers-api-duke
- Cloud Data Engineering: https://www.coursera.org/learn/cloud-data-engineering-duke
- Python Essentials for MLOps: https://www.coursera.org/learn/python-mlops-duke
- DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-duke
- Web Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-duke
- MLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-duke
- Scripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke
- Python and Pandas for Data Engineering: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke
- Cloud Computing Foundations: https://www.coursera.org/learn/cloud-computing-foundations-duke
📚 Must-Read Books:
Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/
Developing on AWS with C#: https://www.amazon.com/Developing-AWS-Comprehensive-Solutions-Platform/dp/1492095877
Pragmatic AI Labs Books: https://www.amazon.com/gp/product/B0992BN7W8
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Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q
52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com
noahgift.com: https://noahgift.com/
Pragmatic AI Labs Website: https://paiml.com/
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