Loading data incrementally into Amazon Redshift S3 vs DynamoDB vs Insert

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Feb 8 in AWS by Rahul
• 2,080 points
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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 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 by anonymous

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