Loading data incrementally into Amazon Redshift S3 vs DynamoDB vs Insert

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Feb 8, 2022 in AWS by Rahul
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2 answers to this question.

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It is feasible to aggregate event logs before ingesting them into Amazon Redshift, This has several benefits, such as:

You will be able to use the parallel nature of RedShift, COPY command on large S3 file or DynamoDB table will be much faster than INSERT or COPY command on a small file.

You can also presort your data before loading it into RedShift. This improves load performance and reduces the need for vacuum of your table.
answered Feb 8, 2022 by anonymous
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It is achievable to aggregate event logs prior to ingesting them into Amazon Redshift, This has a few advantages, for example,

You will actually want to utilize the equal idea of RedShift, COPY order on enormous S3 document or DynamoDB table will be a lot quicker than INSERT or COPY order on a little record.
answered Feb 9, 2022 by anonymous

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