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- Solutions : Infoworks
After data is ingested to a Data Lakehouse, what happens if the data is structurally modified by a process outside of Infoworks and the metastore records are changed?
- Steps to perform Python Custom Transformation in Infoworks
Navigate to Admin section of Infoworks UI, and click on external scripts, which shows up pipeline extensions page Click on Add an extension,and configure it as follows:
- How to Change Scale and Precision at Table Level for Table Columns
To modify the Precision and Scale for a column in the table in the Infoworks source, ensure the source and target data are the same and there are no corrupt modified values in the target Hive tables
- Optimizing Ingestion Performance and Reducing Cluster Costs Using Split . . .
Users may observe slow ingestion performance and higher compute costs when ingesting large tables or many tables in a single job This is often due to the default behavior where ingestion happens sequentially using a single connection To overcome this, Infoworks provides support for parallel ingestion using Split-By columns and Table Groups
- Replication Process - Product Documentation
This service listens to the changes on the source cluster HDFS, and writes the changes in the Infoworks metastore The incremental replicator will then replicate the changes after reading it from the metastore
- IBM DB2 CharConversionExcetion : Infoworks
Please note that only users with an 'Infoworks admin role' have permission to add this configuration After applying this change, it is essential to retry the data ingestion job with a cluster configured with the specified settings and monitor the outcome
- Introduction - Product Documentation
Infoworks agile data engineering platform automates the creation and operation of big data workflows from source to consumption, both on premise and in the cloud
- Specifications - Product Documentation
The Infoworks must be configured before installation to access all services that are expected to be used In turn, each service that is to be consumed by the Infoworks must listen on an interface accessible on all nodes of the Hadoop cluster
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