Spark testing typically refers to the process of testing applications developed using Apache Spark, a popular open-source distributed computing system designed for large-scale data processing. Spark is often used in big data contexts for tasks like data transformation, analysis, and machine learning. Testing in Spark can involve several aspects: 1. **Unit Testing**: This involves testing individual functions or components of Spark applications to ensure they produce the expected results.
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