IBM Data and AI Ideas Portal for Customers


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Status Not under consideration
Workspace Connectivity
Created by Guest
Created on Jul 20, 2021

RELATED IDEAS

DataStage server jobs are failing due to no ODBC connector support to load data into Snowflake database

Currently, we have several DataStage server jobs designed to solve a specific problem and running fine to extract data sourcing from flat files & SQL servers and targeting to Netezza database. Now we are in the process of migrating the on-prem Data Warehouse to the cloud (Azure) Snowflake database and the DataStage server jobs are failing to load data into the snowflake database due to character conversion issues. The target ODBC connector (no snowflake connector available in DataStage server canvas) to load data into the Snowflake is translating data into unreadable (Asian characters) characters and DataStage jobs are failing.

It is not practical for us to convert all of these 100s of server jobs into parallel jobs and it is also a huge risk to the project. So we suggest providing a fix to the character translation with an existing ODBC connector.

Needed By Week
  • Guest
    Reply
    |     Jul 28, 2021

    Server jobs and the UniVerse engine deprecated back in 2019, and while we will continue to support those items through the standard support periods of products that currently have them (i.e. Information Server 11.7.x), we will not be making any additional enhancements to anything Server related. We are removing the UniVerse engine & the accompanying Server canvas in the upcoming Next Generation DataStage on Cloud Pak for Data release in 4Q of this year.

    Recommendation to this customer is to leverage our upcoming MettleCI Server to Parallel Job Conversion tool (available closer to the end of 3Q) to assist with upgrading their Server jobs to Parallel equivalents such that they can leverage the Snowflake connector we have as part of the Parallel canvas.

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