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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/02/16 15:53:00 UTC

[jira] [Work logged] (BEAM-11322) Apache Beam Template to tokenize sensitive data

     [ https://issues.apache.org/jira/browse/BEAM-11322?focusedWorklogId=553032&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-553032 ]

ASF GitHub Bot logged work on BEAM-11322:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 16/Feb/21 15:52
            Start Date: 16/Feb/21 15:52
    Worklog Time Spent: 10m 
      Work Description: KhaninArtur opened a new pull request #13995:
URL: https://github.com/apache/beam/pull/13995


   Some users may want to protect their sensitive data using tokenization.
   
   We propose to create a Beam example template that will demonstrate Beam transform to protect sensitive data using tokenization. In our example, we use an external service for the data tokenization. 
   
   At a high level, a pipeline that: 
   
   - supports batch (GCS) and streaming (Pub/Sub) input sources
   - tokenizes sensitive data via external REST service - we are about to use Protegrity
   - outputs tokenized data into BigQuery or BigTable
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 553032)
    Remaining Estimate: 0h
            Time Spent: 10m

> Apache Beam Template to tokenize sensitive data
> -----------------------------------------------
>
>                 Key: BEAM-11322
>                 URL: https://issues.apache.org/jira/browse/BEAM-11322
>             Project: Beam
>          Issue Type: Improvement
>          Components: examples-java
>            Reporter: Artur Khanin
>            Assignee: Artur Khanin
>            Priority: P3
>              Labels: Clarified
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Some users may want to protect their sensitive data using tokenization.
> We propose to create a Beam example template that will demonstrate Beam transform to protect sensitive data using tokenization. In our example, we will use an external service for the data tokenization. 
> At a high level, a pipeline that will: 
>  * support batch (GCS) and streaming (Pub/Sub) input sources
>  * tokenize sensitive data via external REST service - we are about to use Protegrity
>  * output tokenized data into BigQuery or BigTable



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