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In DataStage, wildcards in the Azure Data Lake Storage connector are only allowed the filename, not in the filepath
In the Azure Data Lake Storage connector DataStage can read multiple files at once by specifying wildcards. But these wildcards are only allowed in the filename, not in the filepath. This means that all the files we want to read have to be present...
We would like to connect an Amazon S3 connector to crawl our MFA-enabled S3 instance to pull in data to use in the Watson CP4D environment, but the current Amazon S3 connector does not support connecting to MFA-enabled environments.
Proxy setting options in Google Cloud Storage Connector
Please provide the option to enter proxy settings in Google Cloud Storage connector just as we have in Google BigQuery connector. This option should be provided for all internet based connections as it is important from security point of view. Ope...
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...
Add SQLTables, SQLColumns, SQLStatistics, SQLSpecialColumns to ODBC API to connect MS Access ODBC
Issue with importing table definition from MS Access DB using Sequelink driver. Receiving unsupported functions on "SQLPrimaryKeys & SQLForeignKeys". Per technote we are trying to access Access DB using Sequelink toolDataStage ODBC drivers for...
Logging the Google BQ job id in IBM DataStage logs for unique search-ability based on BQ job id
When diagnosing DataStage job failures, especially on the BQ target/source side, it is difficult to trace the problem cause due to the lack of the JobID especially on busy environments. This would be for both the BQ Connector as well as the Simba ...
Redshift connector slow in IIS DataStage for Insert/Update
We have a use case in which we need to process records from IIS DataStage into an aws Redshift instance. When using the stage as currently implemented, we're seeing a throughput that averages 2-6 records a second which is far below the acceptable ...
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