connectivity
tdapiclient - Teradata Third Party Analytics Integration Python Library
Version: - Created: 09 Nov 2022
tdapiclient - Teradata Third Party Analytics Integration Python Library The tdapiclient Python library integrates the Python libraries from AWS SageMaker, Azure ML, and Google Vertex AI with Teradata. Users can train and score their models using teradataml DataFrame. tdapiclient will transparantly convert the teradataml DataFrame to an S3 address, Azure ML Dataset or Blob, or Vertex AI dataset to be used for training. The user can then provide another teradataml DataFrame as input for inference. Users of tdapiclient can also deploy models trained in Azure ML, AWS SageMaker, or Vertex AI to a Teradata Vantage system for in-database scoring using BYOM functionality. This library also provides API_Request, a method to call API_Request UDF, which can be used for obtaining OpenAI and Azure OpenAI text embeddings from large language models. This method can also be used for scoring models hosted in AWS, Azure, or Google Cloud Platform, equivalent to predicting in UDF mode through the tdapiclient predict method. Teradata recommends downloading tdapiclient library from PyPi location : https://pypi.org/project/tdapiclient/. Download from downloads.teradata.com location if your organization does not allow you to install directly from https://pypi.org/project/tdapiclient/.
teradataml Sandbox environment
Version: 1.0.0 - Created: 28 Oct 2022
The sandbox environment is based on a SLES12 SP3 docker image that contains a Python distribution (interpreter and add-on libraries) based on the latest Teradata In-nodes Python release for SLES12-SP3: Python interpreter (Version 3.7.7 or Version 3.6.7) Add-on libraries for Python User can choose to setup the docker environment and test Python scripts by running them inside the docker container, or user can directly execute scripts on Vantage. The sandbox environment docker image name is "stosandbox:1.0". The docker image size is about 4 GB. Due to the large size, Teradata recommends downloading it beforehand, and saving it into a local folder.
Teradata ODBC Driver for AIX
Version: 20.00.00.03 - Created: 06 Oct 2022
The ODBC Driver for AIX allows you to connect to the Teradata database from AIX applications. To get started, see the README files. You can get community support for this download in the Connectivity forum.
Teradata ODBC Driver for Solaris
Version: 13.10.00.01 - Created: 06 Oct 2022
The ODBC Driver for Solaris allows you to connect to the Teradata database from Solaris applications. To get started, see the README files. You can get community support for this download in the Connectivity forum.
Teradata ODBC Driver for Mac OS X
Version: - Created: 06 Oct 2022
The ODBC Driver for Mac OS X allows you to connect to the Teradata database from Mac OS Xapplications. To get started, see the README files. You can get community support for this download in the Connectivity forum.