Source Type |
Target Type |
Input |
Alteryx |
AWS Glue Notebook |
- In Output Type, select Python as the output type format for the generated artifacts.
- In Source Database Connection, select the required source database to load the data such as Oracle, SQL Server, Teradata, Netezza, DB2, Vertica.
- In S3 Bucket Base Path, provide the S3 storage repository path where you need to store the source and target files.
- In Artifacts Location, specify the location from where you need to call external files such as parameter files, orchestration scripts.
|
Databricks Lakehouse |
- In Output Type, select Python as the output type format for the generated artifacts.
- In Source Database Connection, select the required source database to load the data such as Oracle, SQL Server.
- In DBFS File Base Path, specify the DBFS (Databricks File System) location where you need to fetch the input files and store the transformed data. In other words, it is a base path for input files and output data.
|
Spark |
- In Output Type, select Python as the output type format for the generated artifacts.
- In Source Database Connection, select the required source database to load the data such as Oracle, SQL Server, Teradata, Netezza, DB2, Vertica.
- In File Base Path, specify the base path for input files and output data.
- In Artifacts Location, specify the location from where you need to call external files such as parameter files, orchestration scripts.
|