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Accelerate lightweight analytics using PyIceberg with AWS Lambda and an AWS Glue Iceberg REST endpoint
- Apache Iceberg provides ACID transactions, schema evolution, and time travel capabilities for data lakes.
- PyIceberg is a lightweight Python tool for managing Iceberg tables without distributed computing infrastructure.
- PyIceberg integrates with AWS Glue Data Catalog and AWS Lambda for efficient data management in a serverless environment.
- Data teams can leverage PyIceberg for data analysis using Python libraries like Pandas and Polars.
- Iceberg tables managed with PyIceberg can be used with AWS data analytics services like Amazon Athena for scalability.
- PyIceberg is suitable for tasks like feature engineering in data science and serverless data processing with Lambda.
- By combining PyIceberg with Lambda, teams can build efficient event-driven data pipelines without managing infrastructure.
- The article presents a detailed walkthrough involving setting up resources with AWS CloudFormation and building a Lambda function.
- It demonstrates accessing and analyzing data using Jupyter notebooks with PyIceberg, showcasing tag management and snapshot-based version control.
- Furthermore, it covers querying data from Iceberg tables using AWS Athena, highlighting interoperability with different data processing engines.
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