Capture and Process Item-level Changes Using DynamoDB Streams and AWS Lambda

DynamoDB Streams captures a time-ordered sequence of item-level modifications in any DynamoDB table and stores this information for up to 24 hours.
When you enable a stream on a table, DynamoDB captures information about every modification to data items in the table. You can configure the stream so that the stream records capture additional information, such as the "before" and "after" images of modified items.
DynamoDB Streams writes stream records in near-real time so that you can build applications that consume these streams and take action based on the contents.

In this video , I have discussed , how to use this feature & integrate with AWS Lambda.

Prerequisite:
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Inserting into DynamoDB from Lambda
https://youtu.be/X4ZkZEfVFJE
Deleting Data from a DynamoDB Table using AWS Lambda
https://youtu.be/J5U44eaVcBw

SQL Used in this video is called PartiQL which provides SQL-compatible query access across multiple data stores containing
structured data, semistructured data, and nested data.

INSERT INTO "orders" value {'roll_no' : 5,'price' : 5, 'quantity': 235 }
INSERT INTO "orders" value {'roll_no' : 2,'price' : 10, 'quantity': 10 }
INSERT INTO "orders" value {'roll_no' : 3,'price' : 20, 'quantity': 100 }
INSERT INTO "orders" value {'roll_no' : 4,'price' : 30, 'quantity': 15 }

UPDATE orders SET price=90 WHERE roll_no=5

DELETE FROM "orders" WHERE "roll_no" = 3


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