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Version: 20.00.00.02 - Created: 04 Sep 2024

Teradata SQL Driver Dialect for SQLAlchemyThis package enables SQLAlchemy to connect to the Teradata Database.This package requires 64-bit Python 3.4 or later, and runs on Windows, macOS, and Linux. 32-bit Python is not supported.For community support, please visit the Teradata Community forums.For Teradata customer support, please visit Teradata Access.Copyright 2024 Teradata. All Rights Reserved.

Version: 01.00.01.00 - Created: 10 May 2024

Vantage Editor DesktopVantage Editor Desktop is an easy to install, lightweight SQL Editor that offers a simple and intuitive user experience for connecting to Teradata and running queries.With the Vantage Editor Desktop you can:Manage connections to SQL Engine 17.20 and aboveCreate, edit, run, rename and save SQL statements and scriptsView, sort, filter and download query resultsView, sort, search, query history and copy/paste for re-executionExport/import query history between Vantage Editor instancesBrowse database objects, mark favorites as starred, view detailed object insightsUpload limited data into existing tablesManage panel size and visibilityAdjust and set defaults for various featuresView in-product helpView the FAQ for more information  Vantage Editor FAQWhat's New Latest release (01.00.01) contains several bug fixes including the following:VEDITOR-713: [Desktop] connections.yaml file not properly reading logonMechanism if directory created in advanceVEDITOR-658: Vantage Editor Desktop needs to work offlineVEDITOR-736: Editor is returning large decimal values that are rounded.VEDITOR-671: [Tech Spike] Request to output byte types values without converting them to integersVEDITOR-721: [tech spike] Investigate issue with changing timestamp  

Version: 20.00.00.01 - Created: 29 Mar 2024

Overview teradatamlspk is a Python package, built as an extension of teradataml, Teradata Python package. Syntax and user accessibility of teradatamlspk APIs are kept similar to PySpark APIs, allowing, the existing PySpark workloads, that run on Spark engine, can be easily run on Teradata Vantage with minimal changes to migrate PySpark workloads to Vantage. teradatamlspk offers another function pyspark2teradataml that enables conversion of a PySpark script to a teradatamlspk Python script. It also generates the HTML report for the conversion, that is useful for the user to understand the changes done and also carry out any manual changes in the generated script, so that the script can be run on Vantage. Dependent Python Packages:  teradataml 20.0.0.0 or Later PrettyTable  

Version: 20.0.19 - Created: 16 Nov 2023

The Teradata SQL Driver for Node.js enables Node.js applications to connect to the Teradata database. For documentation, license information, and sample programs, please visit the driver GitHub page. For community support, please visit Teradata Community. For Teradata customer support, please visit Teradata Customer Service. We recommend that you follow the Installation instructions listed on the driver GitHub page. If the recommended installation procedure is not possible for you, then follow these manual installation steps: .list-with-disc { list-style-type: disc !important; } Download the .tgz file from the link above. In your command prompt or shell, run npm install tgzFileName

Version: 20.00.03.00 - Created: 16 Nov 2023

The .NET Data Provider for Teradata is an implementation of the Microsoft ADO.NET specification. It provides direct access to the Teradata Database and integrates with the DataSet. .NET Applications use the .NET Data Provider for Teradata to load data into the Teradata Database or retrieve data from the Teradata Database.   For Visual Studio 2017 and newer, you will need to download the Integrated Help package and/or the appropriate VS Integration package if you wish to use these features. For the VS Integration features, simply download the file and execute it. Microsoft Edge changes the file extension from VSIX to ZIP. You must rename the file back to VSIX to execute it. VSIXInstaller.exe is part of Visual Studio 2017 and VSIX extension should already be associated with VSIXInstaller.exe.  For Integrated Help, unzip the file to a temporary directory and then use the Help, Add and Remove Content menu to install the help. Use the Browse [...] button near the bottom of the dialog to select the extracted helpcontentsetup.msha file, then click Update. PLEASE NOTE that the VS Integration package is self-contained and does not require the .NET Data Provider for Teradata to be installed. However, a runtime dependency conflict may arise if your project depends on both, VS Integration and .NET Data Provider for Teradata. To avoid such conflict, the .NET Data Provider for Teradata must be the same or greater version than the VS Integration package. For older versions of Visual Studio, the main Windows installation package (version 16.10 and older) can optionally install the integrated help and Visual Studio integration features. The Teradata Developer Tools for Visual Studio is available from the Visual Studio Marketplace for Visual Studio 2015-2019 and Visual Studio 2022. The release contains a query tool that enables queries to be composed and executed against a Teradata Database. Queries are composed using a custom editor window with intellisense capabilities. Separate windows are used to display results and history. The .NET Data Provider for Teradata is also available as a NuGet package at https://www.nuget.org/packages/Teradata.Client.Provider/. The Entity Framework Core Provider is available as a NuGet package at https://www.nuget.org/packages/Teradata.EntityFrameworkCore/.   For community support, please visit the Connectivity forum.