Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python,Scala

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Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala

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Thanks for the awesome tutorial, buddy. I am able to create the streaming pipeline end to end.

sagnikmukherjee
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Hello. Thanks for the amazing video.
I have been getting an error Unable to create a sink for writing table "hive.XXXX"
while inserting into "sensor_state". Any clue?
Not able to find any help online. Thanks.

darkprash
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Hi Soumil, I have a question.
If you are defining your stream in the sql query where you want to put the aggregated data, then why are you creating the table sensor_state, and inserting into that.
Isn’t that part at 11.39, defining the table and the output stream where it should write the data.
Why we have another insert statement for sensor_state table?

Amarjeet-fblk
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while im running thie on my editor it showing me an error= kinesis_client = boto3.client('kinesis',
NameError: name 'boto3' is not defined
can you help me to resolve this error ?

sohailpagdiwale
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