Process Amazon Kinesis Data Streams using AWS Lambda | Amazon Web Services

In this video, you’ll see how to process Amazon Kinesis data streams using AWS Lambda. With this solution, you can build complex processing logic more easily, pay only for what you use with a 100 percent serverless model, and get infinite scalability with no operational overhead.

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[munteanionut]

Thank you for the video! This is great for explaining concepts.

It would have been even better if the use-case was explained more in-depth, even if this is an imaginary scenario.

it is not clear to me how it would benefit having a Lambda that reads from Kinesis, to then dump the data into a DB. (Isn't Kinesis already dumping data in a DDB behind the curtains? the ddb which basically allows for replay...?) If you could add that, that would help clear up the real-world usefulness of that, just like you illustrated real-life usefulness with the sports betting in the previous videos. I thought Kinesis already does the storage part, as mentioned in the other videos in this playlist. Do we wish to store to DDB for longer than Kinesis does? Basically have long-term storage? And if yes, why DDB and not S3 then?

But then again: perhaps these are questions out of scope for the purpose of just explaining Kinesis Data Streams concepts... I am just saying it would help having the greater scope of this...

Also:
- how can "poison" messages get into a data stream? And what "poison" messages be more precisely?
- the video mentions "partitions" at 1:38 but does not expand on what partitions are.

[shaunbabu]

can you explain the kinesis-lambda-demo-role that you have selected while setting up the lambda function.

[miristegal]

kinesis triggers are not working for cross-account scenario.

[PAVANKUMAR-vjoi]

so the flow is why can't we do source-->lambda-->dynamodb instead ?