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- How do you see DevOps and DataOps practices fitting into these data workflows and data pipelines? Why should developers care about these tools?
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Classroom Contents
Smart Data Pipelines to Azure - Ingesting and Migrating Data the DataOps Way
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- 1 - Introduction
- 2 - What is StreamSets? What are some of the gaps you see in existing ETL tools?
- 3 - What are some of the biggest trends and issues with modern data applications?
- 4 - What's the breath of Azure technology supported by StreamSets? How to integrate with Azure Synapse?
- 5 - How do you see customers leveraging both these Azure Data Factory pipeline capabilities alongside StreamSets?
- 6 - What other Azure services or products does StreamSets agree with?
- 7 - How do you see DevOps and DataOps practices fitting into these data workflows and data pipelines? Why should developers care about these tools?
- 8 - How does StreamSets remains GDPR compliant?
- 9 - How quickly can StreamSets deploy a data pipeline? How is the deployment process?
- 10 - Does deploying workloads to Azure require rewrites?
- 11 - What are the typical target customers?
- 12 - Closing Notes
