Downloads

Version: 17.20.00.00 - Created: 23 May 2022

Teradata R Package Product Overview Note: Teradata recommends to install tdplyr from https://github.com/Teradata/tdplyr. Download from downloads.teradata.com location if your organization does not allow you to download directly from https://github.com/Teradata/tdplyr. The Teradata R package (tdplyr) combines the benefits of open source R language environment with the massive parallel processing capabilities of Teradata Vantage, which includes the Teradata Machine Learning Engine analytic functions and the Teradata NewSQL Engine in-database analytic functions. It allows users to develop and run R programs that take advantage of the Big Data and Machine Learning analytics capabilities of Vantage. This package interface makes available to R users a collection of functions for analytics that reside on Vantage, so that they can perform in-database analytics with no SQL coding required. Specifically, the Teradata R package provides functions for data manipulation and transformation, data filtering and sub-setting, on remote Teradata database table and can be used in conjunction with open source R capabilities. Moreover, the Teradata R package conforms and works with the functions of the dbplyr package and most of the verbs of the dplyr package. The Teradata R package depends on rlang, dplyr, dbplyr, DBI, magrittr, jsonlite, purrr, bit64 (which are available from CRAN) and teradatasql (which is available from Teradata's Github repository and downloads.teradata.com) packages. To download and install tdplyr along with its dependencies automatically, specify the Teradata R package repository and CRAN in the repos argument for install.packages. Rscript -e "install.packages('tdplyr',repos=c('https://r-repo.teradata.com','https://cloud.r-project.org'))" Documentation and Support For Teradata R package documentation, please visit Teradata R Package Documentation For Teradata customer support, please visit Teradata Access or email Analytic-Clients Support at SA230577@teradata.com. General product information is available in the Teradata Documentation Website. Teradata R Package User Guide – B700-4005 Teradata R Function Reference – B700-4007

Version: 1.0.0 - Created: 15 Dec 2021

The Teradata BYOM plugin facilitates "bringing your own model" to the Vantage Advanced SQL Engine Database and scoring your data that are stored in Database tables with saved models in select formats. This plugin's features enable Dataiku users to take advantage of the Vantage massively parallel scoring capabilities by using models previously trained in Dataiku or other platforms. Specifically, the Teradata BYOM plugin contains 2 Dataiku recipes to      1. Enable you to store PMML-formatted Dataiku models into Vantage tables.      2. Score data in Database tables from the convenience of your Dataiku project. The plugin currently supports PMML- and H2O MOJO-formatted models you have previously          stored in the Database.   The present plugin has been tested with Vantage 2.0. For system requirements and further details, refer to the README file and the plugin user guide PDF document.

Version: 17.10.12.00 - Created: 08 Dec 2021

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 Windows platform.

Version: 17.20 - Created: 18 Nov 2021

Developer Tier is a SUSE Linux Enterprise Server (SLES) operating system and the Analytics Database packaged into a virtual container that runs in a VMware vSphere ESXI virtualized environment on third-party hardware. There are two variants of the Developer Tier including a Preconfigured version and the regular version. Developer Tier (Preconfigured) is a simplified version of VantageCore VMware Developer Tier that allows you to deploy the Analytics Database quickly and easily using the OVA template. Networking is already configured to use DHCP, and you can add storage to the system. The Preconfigured version enables you to deploy only the Database and the instructions are available in a separate user manual on this download page. The full Developer Tier consists of an OVA file template and associated property files and scripts for deploying the Teradata Database and the associated Teradata ecosystem products. Once deployed by the VMware administrator, Developer Tier can be used to evaluate the VantageCore VMware and the Analytics Database and the associated ecosystem products.   Note: You must have administrative privileges on the destination VMware environment to install and configure Developer Tier virtual machines.   The Linux OVA contains Teradata Studio, Teradata version of Jupyter Lab, Apache Superset and instructions (with a script) to install Precog on the OVA after it's installed.  To get the Jupyter access token, login as user "tdc" and run "docker ps" to view the running images. Next run "docker logs <jupyter image id>" to view the Jupyter access token.  The login and password for the Linux OVA is tdc/teradata2022 For feedback, discussion, and community support, please visit the Cloud Computing forum. Getting Started The first task is to decide whether you want to deploy the preconfigured version or the regular version of Developer Tier. Then, you must download the Developer Tier template and the manual for the version you wish to deploy. If you are deploying the full version, you'll need to also download the install scripts and desired ecosystem products from the download center. You will need the following technical requirements and components to run Developer Tier.   Component Requirements VMware ESXi version ESXi 6.x, 7.x   Datastore space for template deployment:  Teradata Database: 30 GB minimum   vCenter management • VMware administrator privileges • vCenter Standard version (must support ESXi 6.x or 7.x servers) • vCenter 6.x or 7.x   Note: There is a known issue with tdvm-init on the 17.10 Developer Tier OVA image that causes the tdvm-init script to fail. To work around this issue, run the command "mkdir -p /etc/opt/teradata/telm/tmp" and then run the command "touch /etc/opt/teradata/telm/tmp/.dttmpp" After running those commands run "python tdvm-init" to configure VantageCore VMware Developer Tier.  

Version: 17.05 - Created: 12 Aug 2021

This is a VMware OVA that contains Teradata Studio, Teradata version of Jupyter Lab, Apache Superset and instructions (with a script) to install Precog on the OVA after it's installed.  To get the Jupyter access token, login as user "tdc" and run "docker ps" to view the running images. Next run "docker logs <jupyter image id>" to view the Jupyter access token.  For feedback, discussion, and community support, please visit the Cloud Computing forum.   NOTE: The login and password for the OVA is tdc/teradata2022.