Data Engineering with Python and AWS Lambda (Introduction)
Combining Python and AWS Lambda for Data Engineering:
By leveraging Python's data engineering capabilities and AWS Lambda's serverless architecture, you can build:
1. Event-driven data pipelines
2. Real-time data processing and analytics
3. Scalable data integration and transformation workflows
Some common use cases include:
1. Data ingestion from IoT devices or APIs
2. Real-time data processing and analytics
3. Automated data quality checks and validation
Видео Data Engineering with Python and AWS Lambda (Introduction) канала Online Academy
By leveraging Python's data engineering capabilities and AWS Lambda's serverless architecture, you can build:
1. Event-driven data pipelines
2. Real-time data processing and analytics
3. Scalable data integration and transformation workflows
Some common use cases include:
1. Data ingestion from IoT devices or APIs
2. Real-time data processing and analytics
3. Automated data quality checks and validation
Видео Data Engineering with Python and AWS Lambda (Introduction) канала Online Academy
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22 апреля 2025 г. 21:49:17
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