Perform Daily Data Export from DynamoDB to S3 Bucket in Parquet Format: Optimal Solution

Optimal Solution for Daily Data Export from DynamoDB to S3 Bucket in Parquet Format

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Question

A data analytics team wishes to perform daily data export from DynamoDB table and an import into an S3 bucket in parquet file format for further data analytics processing.

What is the operationally optimal solution?

Answers

A. Use AWS Data Pipeline service to manage the Amazon EMR jobs for data export, conversion, and data import.

B. Use AWS Step functions to manage the data export, conversion, and data import workflow.Use AWS Glue job to perform the data export, conversion, and data import.

C. Enable DynamoDB Streams. Create a Lambda function to poll the DynamoDB stream, perform data conversion, and deliver batch records to S3.

D. Enable DynamoDB Streams. Create Lambda function to poll DynamoDB stream and push items to Kinesis Data Firehose. Use Data Firehose to perform data conversion and store the data in S3.

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Explanations

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A. B. C. D.

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