Senior Director Data Architecture at Managed Markets Insight & Technology, LLC
Real User
Jul 27, 2023
In my company, we use AWS Data Pipeline along with AWS Step Functions so that we can orchestrate the whole ecosystem via AWS Step Functions. We use AWS Data Pipeline to transport data from one location to the other. In our company, we also do data engineering workloads as part of AWS Data Pipeline. You get an email that comes into AWS SQS, and then it triggers Lambda, which kicks off Step Functions that then use the content of the request and do things considering whether it has an attachment that it has to process, making all of it as a use case of the product. You also have AWS Batch, calling and scraping content from the web and putting it in S3, which actually triggers AWS Data Pipeline and consumes that web content. API calls in AWS provide data and get the response from expert AI while doing more aggregates and purchasing the data back to S3.
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In my company, we use AWS Data Pipeline along with AWS Step Functions so that we can orchestrate the whole ecosystem via AWS Step Functions. We use AWS Data Pipeline to transport data from one location to the other. In our company, we also do data engineering workloads as part of AWS Data Pipeline. You get an email that comes into AWS SQS, and then it triggers Lambda, which kicks off Step Functions that then use the content of the request and do things considering whether it has an attachment that it has to process, making all of it as a use case of the product. You also have AWS Batch, calling and scraping content from the web and putting it in S3, which actually triggers AWS Data Pipeline and consumes that web content. API calls in AWS provide data and get the response from expert AI while doing more aggregates and purchasing the data back to S3.
We first receive lots of data in a flat file propagated or consolidated by one of our partners from all the operational data sources and Supply chain.