The most efficient and low-operational-overhead solution for ingesting data into Amazon Redshift from Amazon Kinesis Data Streams is to use Amazon Redshift streaming ingestion. This feature allows Redshift to directly ingest streaming data from Kinesis Data Streams and process it in real-time.
Amazon Redshift Streaming Ingestion:
Redshift supports native streaming ingestion from Kinesis Data Streams, allowing real-time data to be queried using materialized views.
This solution reduces operational complexity because you don't need intermediary services like Amazon Kinesis Data Firehose or S3 for batch loading.
[Reference: Amazon Redshift Streaming Ingestion, Alternatives Considered:, A (Data Firehose to Redshift): This option is more suitable for batch processing but incurs additional operational overhead with the Firehose setup., B (Firehose to S3): This involves an intermediate step, which adds complexity and delays the real-time requirement., C (Managed Service for Apache Flink): This would work but introduces unnecessary complexity compared to Redshift’s native streaming ingestion., References:, Amazon Redshift Streaming Ingestion from Kinesis, Materialized Views in Redshift, ]
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