Wade Waldron

Wade Waldron

Principal Software Practice Lead

Closing remarks

Congratulations on completing this course! You've learned how to build real-time streaming pipelines with Apache Kafka and Apache Flink, and more importantly, how to think differently about data engineering in a streaming-first world.

This is just the beginning. Continue your learning with additional courses on Confluent Developer covering microservices and Apache Iceberg. Join the Confluent Community to connect with other developers, and consider pursuing Confluent certifications to validate your skills.

Thanks for spending this time with us. We hope you build something amazing!

Topics

  • Additional courses on Confluent Developer
  • Joining the Confluent Community
  • Confluent certifications

Resources

Do you have questions or comments? Join us in the #developer-confluent-io community Slack channel to engage in discussions with the creators of this content.

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Total 16

  1. Overview
    2 min
  2. What is Data Engineering
    11 min
  3. Data Stream Engineering
    11 min
  4. Exercise - Setting up Confluent Cloud
  5. Data Engineering Architectures
    9 min
  6. The Data Engineering Lifecycle
    15 min
  7. Generating Data
    7 min
  8. Ingesting Data
    8 min
  9. Exercise - Creating and Populating Apache Kafka® Topics
  10. Transforming Data
    12 min
  11. Exercise - Transforming Data with Apache Flink®
  12. Serving Data
    11 min
  13. Data Warehouses, Lakes, and Lakehouses
    13 min
  14. Exercise - Working with Lakehouses in a Streaming World
  15. Streaming Data Governance
    11 min
  16. Closing Remarks
    1 min

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