External Sources

Oracle AI Data Platform supports ingestion of data from a wide range of sources using Spark-based notebook connectors. These connectors enable users to ingest and process data directly from external sources in a flexible, code-driven manner.

AI Data Platform provides sample code templates in this ZIP file to support ingesting data from several external systems using Spark in notebooks. These templates are pre-built and customizable, allowing users to quickly connect, read, and write data from various commonly used systems.

Table 14-3 External Ingestion Sources

Source	Access Type	Integration Method	Decription	External Catalog Support	Sample Code Available
MySQL	Read/Write	JDBC via Spark Notebook	Ingest and export data between IDL and MySQL databases using JDBC connectors.	No	Yes
PostgreSQL	Read/Write	JDBC via Spark Notebook	Supports bidirectional data movement with PostgreSQL via JDBC.	No	Yes
MS SQL Server	Read/Write	JDBC via Spark Notebook	Connect and transfer data from Microsoft SQL Server using Spark and JDBC.	No	Yes
Kafka	Read	Kafka Consumer in Spark Notebook	Stream ingestion from Kafka topics	No	Yes
Hive	Read/Write	JDBC via Spark Notebook	Ingest and export data between AI Data Platform and Hive databases using JDBC connectors	No	Yes