Teradata Connector for Hadoop 1.8.4.1 (Command Line Edition for CDP 7.1.7) NOTE: Please see compatibility matrix at bottom of page

Teradata Connector for Hadoop (TDCH) Command Line Edition

Specifications

1.8.4.1
Version
18 Nov 2022
Released
No TTU Release specified
TTU
Linux x86-64 (64-bit)
OS
No Teradata Release specified
Teradata

Teradata Connector for Hadoop 1.9.2 (Command Line Edition for Google Cloud Dataproc 2.x) NOTE: Please see compatibility matrix at bottom of page

Teradata Connector for Hadoop (TDCH) Command Line Edition

Specifications

1.9.2
Version
18 Nov 2022
Released
No TTU Release specified
TTU
Linux x86-64 (64-bit)
OS
No Teradata Release specified
Teradata

tdapiclient - Teradata Third Party Analytics Integration Python Library

python

tdapiclient - Teradata Third Party Analytics Integration Python Library

python

Details

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/.

Download Teradata Vantage Express, a free, fully-functional Teradata Vantage database, that can be up and running on your system in minutes. Please download and read the user guide for installation instructions.

Note that in order to run this VM, you'll need to install VMware Workstation Player, VMware Fusion, VMware Server, VirtualBox, or UTM on your system. For more details, see our getting started guides.

For feedback, discussion, and community support, please visit the Cloud Computing forum.

Specifications

Version
Released
TTU
OS
Teradata

tdapiclient - Teradata Third Party Analytics Integration Python Library

python

tdapiclient 1.1.1.0

Specifications

1.1.1.0
Version
09 Nov 2022
Released
No TTU Release specified
TTU
Not Applicable
OS
No Teradata Release specified
Teradata

teradataml 17.20.00.00

Specifications

17.20.00.00
Version
09 Nov 2022
Released
No TTU Release specified
TTU
Not Applicable
OS
No Teradata Release specified
Teradata

Teradata Tools and Utilities 17.20 for macOS

Specifications

17.20.08.00
Version
08 Nov 2022
Released
17.20
TTU
Mac OS X
OS
17.20 17.10 17.05 17.00 16.20 16.10
Teradata

Teradata Tools and Utilities 17.20 for Linux

Specifications

17.20.08.00
Version
08 Nov 2022
Released
17.20
TTU
Linux x86-64 (64-bit)
OS
17.20 17.10 17.05 17.00 16.20 16.10
Teradata

Teradata Tools and Utilities 17.20 for Windows

Specifications

17.20.08.00
Version
08 Nov 2022
Released
17.20
TTU
Windows i386 (32-bit) Windows x86-64 (64-bit)
OS
17.20 17.10 17.05 17.00 16.20 16.10
Teradata

ODBC Driver 17.20.00.10 for AIX POWER

Specifications

17.20.00.10
Version
08 Nov 2022
Released
17.20
TTU
AIX POWER 32-bit AIX POWER 64-bit
OS
17.20 17.10 17.05 17.00 16.20 16.10
Teradata

ODBC Driver 17.20.00.10 for Solaris Opteron

Specifications

17.20.00.10
Version
08 Nov 2022
Released
17.20
TTU
Solaris Opteron 32-bit Solaris Opteron 64-bit
OS
17.20 17.10 17.05 17.00 16.20 16.10
Teradata