Teradata VantageCloud
by Teradata
Enterprise analytics data platform (formerly Teradata Vantage) for cloud and on-premises, read with SQL drivers.
- Category
- Cloud & Data Platforms
- Type
- Data warehouse & lakehouse
- Interface
- database interface
- Built with
- Connect Anything
- Credentials
- Username and password, Vendor credentials
02Data
What you can sync.
- Sql query results
- Tables
- Views
Put Teradata VantageCloud sql query results next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Teradata VantageCloud data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- Other credentials
Teradata VantageCloud uses a username and password or other credentials. You add the credentials once, when the AI asks for them, and it tells you where to create them in Teradata if you need help.
04How it works
How it works in DataMind.
-
Pick Teradata VantageCloud.
Open Lake, pick Teradata VantageCloud in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Teradata VantageCloud API docs.
-
Answer a few questions.
The AI reads the Teradata VantageCloud documentation, then asks which credentials you will use, which data to sync (for example sql query results and tables), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Teradata VantageCloud, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
