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Teradata CLIv2 for Windows

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.

VantageCore VMware Developer Tier and Developer Tier Preconfigured

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.  

VMware OVA with Teradata Studio, Jupyter Lab, Apache Superset, installer for Precog's Universal Data Connector

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.

Teradata SCRIPT Table Operator Plugin for Dataiku

Version: 1.0.3 - Created: 29 Jul 2021

The Teradata SCRIPT Table Operator (STO) plugin for Dataiku allows end users to leverage the STO object in the Vantage Advanced SQL Engine Database. STO enables pushing R and Python scripts into the Database, and executing the scripts natively in the Database nodes. One thus benefits from scaled performance through execution of script instances across all Database processing units. The Teradata SCRIPT Table Operator plugin for Dataiku facilitates pushing down and execution of STO custom-built R or Python code from      (a) notebooks built in Dataiku DSS, or      (b) external script files stored in DSS managed folders. The plugin also allows you to push down to the Database any supplementary files that may be needed by your script, such as R or Python model files. For system requirements and further details, refer to the README file and the plugin user guide PDF document.  

Teradata Advanced SQL Engine Functions Plugin for Dataiku

Version: 2.0.3 - Created: 29 Jul 2021

The Teradata Advanced SQL Engine Functions Plugin for Dataiku The Teradata Advanced SQL Engine Functions Plugin for Dataiku integrates a set of analytic functions that reside in the Vantage Advanced SQL Engine, by providing a user-friendly, easy-to-use, no-SQL interface for these functions in the Dataiku DSS environment. The Teradata Advanced SQL Engine Functions Plugin for Dataiku allows end users to leverage Vantage analytics within their DSS data science workflows. This plugin provides support for most of the Advanced SQL Engine analytic functions in 16.20. 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.