From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization

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From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization

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Next steps

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- [Dipali] Congratulations for completing Data Engineering with AWS Part 1 and Part 2. You will now start on a true data engineer's journey by applying these concepts in real business scenarios. In this course, you have learned to deal with complete data engineering pipeline, starting from variety of data sources, data ingestion, and efficient storage mechanism, metadata, cataloging, processing, analytics, and visualization of data in data pipeline. I encourage you to complete the learning modules in order, starting from Part 1, practice with the provided demos to gain practical experience with AWS and data engineering pipeline, apply the knowledge to real-world scenarios, and stay up-to-date with the latest developments in data engineering and in AWS. Feel free to connect with me on LinkedIn, and you can also follow my blog at Medium to learn more about emerging AWS concepts.

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