Teradata SQL Driver for Python 17.20.0.12
Teradata SQL Driver for Python 17.20.0.12
Teradata SQL Driver for Python 17.20.0.12
Specifications
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17.20.0.12Version
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02 Dec 2022Released
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17.20TTU
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Windows Linux Mac OS XOS
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17.20Teradata
Teradata Connector for Hadoop 1.5.14 (Command Line Edition) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.5.14 (Command Line Edition) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.5.14 (Command Line Edition) NOTE: Please see compatibility matrix at bottom of page
Specifications
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1.5.14Version
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18 Nov 2022Released
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No TTU Release specifiedTTU
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Linux x86-64 (64-bit)OS
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No Teradata Release specifiedTeradata
Teradata Connector for Hadoop 1.6.8 (Command Line Edition for HDP 3.x) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.6.8 (Command Line Edition for HDP 3.x) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.6.8 (Command Line Edition for HDP 3.x) NOTE: Please see compatibility matrix at bottom of page
Specifications
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1.6.8Version
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18 Nov 2022Released
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No TTU Release specifiedTTU
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Linux x86-64 (64-bit)OS
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No Teradata Release specifiedTeradata
Teradata Connector for Hadoop 1.7.8 (Command Line Edition) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.7.8 (Command Line Edition) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.7.8 (Command Line Edition) NOTE: Please see compatibility matrix at bottom of page
Specifications
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1.7.8Version
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18 Nov 2022Released
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No TTU Release specifiedTTU
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Linux x86-64 (64-bit)OS
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No Teradata Release specifiedTeradata
Teradata Connector for Hadoop 1.8.4 (Command Line Edition for CDP 7.1.1 to CDP 7.1.6) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.8.4 (Command Line Edition for CDP 7.1.1 to CDP 7.1.6) NOTE: Please see compatibility matrix at bottom of page
Teradata Connector for Hadoop 1.8.4 (Command Line Edition for CDP 7.1.1 to CDP 7.1.6) NOTE: Please see compatibility matrix at bottom of page
Specifications
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1.8.4Version
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18 Nov 2022Released
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No TTU Release specifiedTTU
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Linux x86-64 (64-bit)OS
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No Teradata Release specifiedTeradata
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 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 1.8.4.1 (Command Line Edition for CDP 7.1.7) NOTE: Please see compatibility matrix at bottom of page
Specifications
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1.8.4.1Version
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18 Nov 2022Released
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No TTU Release specifiedTTU
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Linux x86-64 (64-bit)OS
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No Teradata Release specifiedTeradata
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 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 1.9.2 (Command Line Edition for Google Cloud Dataproc 2.x) NOTE: Please see compatibility matrix at bottom of page
Specifications
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1.9.2Version
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18 Nov 2022Released
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No TTU Release specifiedTTU
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Linux x86-64 (64-bit)OS
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No Teradata Release specifiedTeradata
tdapiclient - Teradata Third Party Analytics Integration Python Library
tdapiclient - Teradata Third Party Analytics Integration Python Library
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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
tdapiclient 1.1.1.0
tdapiclient 1.1.1.0
tdapiclient 1.1.1.0
Specifications
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1.1.1.0Version
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09 Nov 2022Released
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No TTU Release specifiedTTU
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Not ApplicableOS
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No Teradata Release specifiedTeradata
teradataml 17.20.00.00
teradataml 17.20.00.00
teradataml 17.20.00.00
Specifications
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17.20.00.00Version
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09 Nov 2022Released
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No TTU Release specifiedTTU
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Not ApplicableOS
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No Teradata Release specifiedTeradata