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4 Cloud Design Patterns for Data Ingestion and Transformation
The team you support needs their data in real-time, in the right format, from sources inside and outside of the organization. Changes to data are accelerating in small and large ways all the time (data drift).
Leverage these 4 key data pipelines to make data ingestion and transformation in the cloud a breezy success.
Download the Data Engineers' Handbook to learn:
The team you support needs their data in real-time, in the right format, from sources inside and outside of the organization. Changes to data are accelerating in small and large ways all the time (data drift).
Leverage these 4 key data pipelines to make data ingestion and transformation in the cloud a breezy success.
Download the Data Engineers' Handbook to learn:
- 4 cloud design patterns with diagrams, best practices, design considerations and use cases
- What smart data pipelines are and why you need them to handle change
- The 3 kinds of data drift your data pipelines should handle automatically to deliver continuous data
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