Downloads

Version: 17.20.00.20 - Created: 16 May 2023

Teradata Call-Level Interface Version 2 is a collection of callable service routines that provide the interface between applications and the Teradata Gateway. Gateway is the interface between CLI and the Teradata Database. This download package is for the AIX platform.

Version: v0.1.8 - Created: 16 May 2023

Teradata AI Unlimited CTL Teradata AI Unlimited CTL provides a command prompt interface to work with AI unlimited workspaces to manage projects and infrastructure. Project management: Create project List project Delete project List project users Create project object store authorization List project object store authorizations Delete project object store authorization Backup objects definitions created for the project work Restore objects definitions created for the project work Infrustructure management: Project engine deploy Project engine suspend Project engine list

Version: 1.0.0 - Created: 04 May 2023

tdplyr will provide a sandbox environment that can be used to run user scripts outside Vantage. User can test scripts in a Vantage-like environment before uploading them for execution in the target Advanced SQL Engine. The sandbox environment is based on a SLES12 SP3 docker image that contains an R distribution (interpreter and add-on libraries) based on the latest Teradata In-nodes R release for SLES12-SP3: R interpreter (Version 3.6.3) Add-on libraries for R User can choose to setup the docker environment and test R scripts by running them inside the docker container, or user can directly execute scripts on Vantage.  The sandbox environment docker image name is "rstosandbox:1.0". The docker image size is about 4.5 GB. Due to the large size, Teradata recommends downloading it beforehand, and saving it into a local folder.

Version: 0.00.20 - Created: 20 Apr 2023

Visit the landing page for more information including sample notebooks, video clips and more ... Teradata Join the community discussion at Community Home - Community - Ecosystem Management Forum, topic: Jupyter Note: The docker image is also available on Docker Hub https://hub.docker.com/r/teradata/ai-unlimited-jupyter   Teradata AI Unlimited Jupyter Teradata AI Unlimited Jupyter provide extensions to the JupyterLab platform to enhance the user experience connecting, orchestrating and executing SQL statements on Teradata AI Unlimited . These extensions include the Teradata SQL Kernel, Navigator and Connection Manager. In addition, in the Docker image, we have bundled the Teradata driver for Python and teradataml library as well as the Teradata driver for R and tdplyr library. The teradataml and tdplyr libraries contain the analytic functions that interact with Teradata in the Python and R languages respectively. The SQL Kernel Provides: Teradata AI Unlimited orchestration and management of the projects and engines using custom magic commands Integration with Github to support project execution Connection management to add, remove, connect, and list connections Query engine that uses embedded Teradata SQL driver SQL aware notebook with SQL content assist and syntax checking Result set renderer that displays result data in easy to read, scrollable grid Execution history that stores execution metadata to recall SQL commands at a later time Visualization using Vega library to display charts, graphs, plots, etc. Support for basic data load from a file  Preference settings allow users to modify logging options for the SQL kernel Magic commands that provide additional custom kernel options to enhance the Teradata user experience The Navigator Provides: The ability to explore the Advanced SQL Engine catalog, regardless of the language you are using in your notebook (SQL, Python, R). Hierarchical display of SQL object-relational model Column metadata showing data type and indexes Row Count, Show DDL, Refresh, Sample Data, Profiling Information, and Column Distribution menu options The Connection Manager Provides: Connection management to add, remove, edit, copy, list, and test connections User interface that is independent of the SQL notebook Connections that are shared with the Navigator and SQL notebooks

Version: 05.00.00.01 - Created: 07 Feb 2023

Bring Your Own Model Overview  The Vantage Bring Your Own Model (BYOM) package gives data scientists and analysts the ability to operationalize predictive models in Vantage. Predictive models trained in external tools with sample data can be used to score data stored in Vantage using the BYOM Predict. Create or convert your predictive model using a supported model interchange format (PMML, MOJO, ONNX, Dataiku, and DataRobot currently available), store it in a Vantage table, and use the BYOM PMMLPredict, H2OPredict, ONNXPredict, DataikuPredict, or DataRobotPredict to score your data with the model. For installation instructions please review the readme file above. H2O Installation Options The ability to score H2O MOJO OpenSource and Driverless AI (DAI) models has been added to the BYOM product via the H2OPredict function.  While there are no extra steps necessary to use the function to score H2O MOJO OpenSource models, there is a requirement to have a license key from H2O to be able to score the Driverless AI models.  This license key must be inserted into a Teradata table and used within the query to score H2O MOJO DAI models.     Encrypt_dai_license.sh provides an option of encrypting the H2O DAI license key before inserting it to the license table in the Teradata database. Simply follow the instructions given in the encrypt_readme.txt file to generate the encrypted license key string and insert that into the Teradata table. This script can only be run on a Linux or macOS machine.   Userexamples.zip contains the examples in the user guide. More information is contained in the userexamples_readme.txt. For additional information, please refer to the Teradata Vantage - Bring Your Own Model User Guide (B700-1111-051K)