Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum
Big Data Blog
This article discusses how to build an analytics pipeline that can handle schema changes in input data using Amazon Redshift Spectrum and AWS Glue's schema evolution feature.
Specifically, the article covers:
- How to ingest and integrate data from multiple IoT sensors with different schemas into Amazon S3
- Setting up an AWS Glue crawler to create a hybrid schema that can handle schema changes in the input data
- Creating an external schema in Amazon Redshift to access the data in S3 using the AWS Glue Data Catalog
- Querying the data from Redshift Spectrum with the hybrid schema to handle data with added or removed attributes
- Conclusion on using this approach for integrating heterogeneous data sources with varying schemas
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