Tracking Processed Data Using AWS Glue Job Bookmarks | Incremental ETL In-depth intuition

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Why only incremental ingestion ? Why not complete Incremental Pipeline starting from Ingestion , Curation & Publishing data ?

If the business logic what we are implementing in curate layer not dependent on past processed data ,then not only ingestion , complete pipeline we can make as Incremental & AWS Glue give the opportunity to do so using one of it's most powerful feature --Job Bookmarking 😊

Today in this video , I have discussed about Job Booking concept in Glue .

For details , you can refer this documentation --
https://docs.aws.amazon.com/glue/late...

V.V.I. Note:
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To identify which files stored on S3 to process, job bookmarks check the last modified time of the objects, not the file names. If your input objects changed since the last time the job ran, then they are reprocessed when the job runs again.

Prerequisite:
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A very frequent technical requirement in big data domain--

You have to write spark dataframe but with kms encryption, if you are using Glue , then this is one approach you can try to improve the security of your pipeline by enabling server side encryption
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