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STEP 1: User, or automated process, submits a POST request
through Amazon API Gateway to process or transform a set of
data. AWS Step Functions orchestrates the ETL Process.
STEP 2: An AWS Lambda function queries the data catalog and
builds a manifest containing the location of the data interest.
STEP 3: The manifest is passed to a downstream Lambda
function in the Step Functions state machine that orchestrate the
batch workflow to process the data specified in the manifest.
STEP 4: These Lambda functions submit jobs to AWS Batch to
execute batch jobs on Amazon EC2
STEP 5: Amazon EC2 processes the data (e.g. data
normalization) and stores results back into Amazon S3 and/or
Amazon Redshift.
STEP 6: Results data is then logged in the data catalog, using the
process show in the Data Acquisition diagram.
Amazon
Elasticsearch Service
AWS Lambda
AWS Batch
AWS Lambda
AWS Step
Functions
Amazon API
Gateway
Data Processing and extract, Transform, Load (ETL) Data Catalog
Data Catalog
Amazon
DynamoDB
Amazon EC2
Amazon
Redshift
Amazon S3
5
4
3
2
1
5
6 6
Data Processing
Real World Evidence (RWE)
Using AWS Services
