Summary: This week allows to understand the DE lifecycle, from the steps required to get the data and deliver to the other fields that data engineers use to improve the system, we also have hands-on experience creating a full pipeline
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Finally I understand the difference between Kinesis data stream and Kinesis firehose. One of the most difficult part of studying the AWS cloud solution architecture was to understand the data solutions that they have. Now, everything makes sense.
I’m glad you got the difference can you share what’s your insight? How would you explain the difference between both?