v0.1.0: Update README.md
Pre-release
Pre-release
Spark on AWS Lambda is a standalone installation of Spark that runs on AWS Lambda using a Docker container. It provides a cost-effective solution for event-driven pipelines with smaller files, where heavier engines like Amazon EMR or AWS Glue incur overhead costs and operate more slowly.
Release 0.1.0 Features:
- Dockerfile that has Pyspark and dependencies installed.
- Sample script to read and write csv file on Amazon S3
- Authentication and authorization framework for connecting to Amazon S3