Teradata Transformation

Example
Bucket objects for Read-only input mapping

Teradata Vantage™ is the connected multi-cloud data platform for enterprise analytics that unifies everything — data lakes, data warehouses, analytics, and new data sources and types. Latest version 17.10 is currently supported.

Example

To create a simple Teradata transformation, follow these steps:

Create a table in Storage by uploading this sample CSV file.
Created table will be available in your transformation (or Workspace) via Read-only Input-mapping, so there is no option to specify standard Input mapping.
Create an output mapping, setting its destination to a new table in your Storage.
Copy & paste the below script into the transformation code.
Save and run the transformation.

CREATE TABLE "transformationTable" (
"id" INT NOT NULL,
"name" VARCHAR(10) NOT NULL
);

INSERT INTO "transformationTable" ("id", "name") VALUES (1, 'john');
INSERT INTO "transformationTable" ("id", "name") VALUES (2, 'doe');

You can organize the script into blocks.

Bucket objects for Read-only input mapping

Teradata organizes tables in databases. Each bucket in Keboola is represented by a separated database, which usually follow this naming pattern: <stackPrefix>_<projectID>-<bucketID>

stackPrefix - depends on keboola stack which you use
- SAPI on https://connection.keboola.com/
- KEBOOLA everywhere else
projectID - ID of your project, which you can find in URL
bucketID - you can find this string ID in detail of your bucket (field ID, not name). This value is in form where . is replaced by _

Example: Bucket with ID in.c-bucketOutOfTransformation in project 9435 on connection.keboola.com is represented by database SAPI_9435-in_c-bucketOutOfTransformation