| Version-01 |
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| Version-02 |
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A consumer script placed in EC2 Instance tracks any new data in Kinesis Data Stream (KDS) and sends PutItem API requests to a DynamoDB table.
| Version-03 |
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To achieve a more optimal and efficient solution, the consumer script that was previously placed in the EC2 Instance has been replaced with a Lambda function.
| Version-04 |
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Data analysis has been performed using EMR Cluster, leveraging Apache Spark and MLlib.
| Version-05 |
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The schema of the Data stored in S3 was determined using Glue, and Athena was used to query the data based on the extracted schema.
| Version-06 |
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For the purpose of exploring analysis using Redshift instead of Athena, Redshift Spectrum was utilized to treat S3 data as a new table in Redshift. This was achieved through the help of the external schema command
| Version-07 |
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Kinesis Data Analytics was employed to analyze real-time data, while Lambda was integrated with SNS to send SMS messages in case of any suspicious events.