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Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
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Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
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