Best Practices for Engineering Production-Ready Software with Apache Spark
Summary
Montevideo Labs shares best practices for taking Spark prototypes to production: making code readable, debuggable, reusable and testable, architecting components for batch ETL, low-latency services and model serving, and packaging and deploying to the cloud. Live demos show how Spark's laziness lets code follow sound software patterns while Spark-specific logic stays separate from business rules.
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