Dev Standards for Spark-jobsby@lexaneon

Dev Standards for Spark-jobs

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Discover practical strategies for standardizing the ETL process within Spark and Flink frameworks, covering key stages like reading, transforming, and writing data. Explore challenges and solutions, including data quality checks, registration, lineage building, and classification, to optimize your data processing workflows for improved efficiency and scalability.
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@lexaneon

Alexey Artemov

Staff Data Engineer and conference speaker with 15+ years of experience


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