5 Ingest Data

This chapter explains how Oracle AI Data Platform can ingest data from different internal and external sources.

Topics:

• Internal Sources
• External Sources

AI Data Platform enables seamless ingestion of data from both external and internal sources using Spark-based notebooks. Whether you're pulling data from cloud services, on-premise databases, or Oracle-native platforms, AI Data Platform provides flexible, code-driven ingestion methods that support your data engineering workflows at scale.

With AI Data Platform ingestion connectors, you can:

• Use drag and drop features to generate notebook code for fast connection setup.
• Ingest batch or near real-time data from a wide variety of systems.
• Leverage Spark and JDBC-based patterns to read, write, and process data efficiently.
• Register external sources as catalogs for direct querying without duplication.

Explore the following sections to learn more:

• External Sources - Ingest data from MySQL, PostgreSQL, Kafka, and more.
• Internal Sources - Connect with Oracle-native systems like Oracle Autonomous AI Lakehouse, Fusion via BICC, and Oracle Database/Oracle AI Database.