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🤖 Automate Data Pipelines with Step Functions-AWS Data Engineering-Part 10
Episode 85

🤖 Automate Data Pipelines with Step Functions-AWS Data Engineering-Part 10

👉 Visualize complex workflows to coordinate distributed apps and microservices ⚙️ Define state machines with transitions between steps 📊 Integrate with Athena for data queries and processing 🏗 Build reusable, scalable pipelines with infrastructure-as-code 💡 Take advantage of Rust performance and millisecond response times 🎯 Use Step Functions as a secret weapon for smooth data engineering automation!

52 Weeks of Cloud

February 6, 202421m 0s

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Show Notes

✨I build courses: https://insight.paiml.com/bzf


 

  • 📚LLMOps Specialization: 
  • 📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
  • 📚Databricks to Local LLMs: https://insight.paiml.com/i6k


 

  • 📚Rust Programming Specialization:  https://insight.paiml.com/qwh
  • 📚Rust for DevOps:  https://insight.paiml.com/x14
  • 📚Rust LLMOps:   https://insight.paiml.com/g3b
  • 📚Rust Fundamentals: https://insight.paiml.com/qyt
  • 📚Data Engineering with Rust: https://insight.paiml.com/zm1
  • 📚Python and Rust with Linux Command Line Tools: https://insight.paiml.com/jot


 

  • 📚Applied Python Data Engineering Specialization: https://insight.paiml.com/5r9
  • 📚Data Visualization with Python: https://insight.paiml.com/y9p
  • 📚Virtualization, Docker, and Kubernetes for Data Engineering: https://insight.paiml.com/xtp
  • 📚Spark, Hadoop, and Snowflake for Data Engineering: https://insight.paiml.com/f6j


 

  • 📚MLOps | Machine Learning Operations Specialization: https://insight.paiml.com/l5u
  • 📚Python Essentials for MLOps: https://insight.paiml.com/uvm
  • 📚DevOps, DataOps, MLOps: https://insight.paiml.com/ggi
  • 📚MLOps Tools: MLflow and Hugging Face: https://insight.paiml.com/y2v
  • 📚MLOps Platforms: Amazon SageMaker and Azure ML: https://insight.paiml.com/ymb


 

  • 📚Python, Bash and SQL Essentials for Data Engineering Specialization: https://insight.paiml.com/2or
  • 📚Linux and Bash for Data Engineering: https://insight.paiml.com/d31
  • 📚Scripting with Python and SQL for Data Engineering: https://insight.paiml.com/n3b
  • 📚Python and Pandas for Data Engineering: https://insight.paiml.com/nz7
  • 📚Web Applications and Command-Line Tools for Data Engineering: https://insight.paiml.com/o86


 

📚 Coursera Guided Projects:

  • Object-Oriented Programming in Python:https://insight.paiml.com/n4h

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Topics

ci-cd-pipelinesinfrastructure-as-codedata-engineering-automationathena-integrationstep-functions