Harvesting Technical Metadata
Harvesting is a process that extracts data structure information from your data sources into your data catalog repository.
What is a Data Asset?
To harvest your data source, you need to register your data source as a data asset in your data catalog instance. A data asset is any physical data store or stream of data such as a database, a cloud storage container, or a message stream.
Supported Data Sources
You use the following data sources (accessible using public or private IPs) to create data assets in Data Catalog:
Autonomous Data Warehouse
Autonomous Transaction Processing
Microsoft SQL Server
Microsoft Azure SQL Database
Apache Hive installed on Oracle Cloud Infrastructure
Apache Kafka installed on Oracle Cloud Infrastructure
- On premise data sources connected to Oracle Cloud Infrastructure Virtual Cloud Networks (VCNs).
Depending on the type of data asset you create, you use different data structures to browse the data entities. For example, if you create an Oracle Database data asset, you browse through database objects to review the table and view data entities.
Supported File Types
The following file types are supported for Oracle Object Storage:
Comma Separated Value (CSV) files (
The supported separators are
XML files (
AVRO files (
Excel files (
Apache Parquet files (
Apache ORC files (
Simple JSON files (
If you choose to harvest unsupported file types, Data Catalog harvester only extracts basic information from those files, such as names and paths.
What are Data Entities and Attributes?
A data asset contains one or more data entities. A data entity is a collection of data such as a database table or view, or a single logical file. A data entity normally has many attributes that describe its data. An attribute describes a data item with a name and data type.
|Data Asset||Data Entities||Attributes|
|Database||Tables and Views||Columns|
|Data Stream||Event or Topic or Payload||Keys|
Harvesting a data source involves the following steps:
- Identify connectivity details to connect to the data source.
- Create a data asset.
- Add a connection to your data asset.
- Harvest the data asset.