Teradata SQL Driver for R 20.0.0.10
Teradata SQL Driver for R 20.0.0.10
Teradata SQL Driver for R 20.0.0.10
Specifications
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20.0.0.10Version
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10 Apr 2024Released
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20.0TTU
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Windows Linux macOSOS
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20.0Teradata
Teradata SQL Driver for Python 20.0.0.10
Teradata SQL Driver for Python 20.0.0.10
Teradata SQL Driver for Python 20.0.0.10
Specifications
-
20.0.0.10Version
-
10 Apr 2024Released
-
20.0TTU
-
Windows Linux macOSOS
-
20.0Teradata
Teradata JDBC Driver 20.00.00.19
Teradata JDBC Driver 20.00.00.19
Teradata JDBC Driver 20.00.00.19
Specifications
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20.00.00.19Version
-
08 Apr 2024Released
-
20.0TTU
-
Windows Linux macOS AIX Solaris z/OS USSOS
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20.0Teradata
Teradata SQL Driver for Python 20.0.0.9
Teradata SQL Driver for Python 20.0.0.9
Teradata SQL Driver for Python 20.0.0.9
Specifications
-
20.0.0.9Version
-
02 Apr 2024Released
-
20.0TTU
-
Windows Linux macOSOS
-
20.0Teradata
Teradata JDBC Driver 20.00.00.18
Teradata JDBC Driver 20.00.00.18
Teradata JDBC Driver 20.00.00.18
Specifications
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20.00.00.18Version
-
01 Apr 2024Released
-
20.0TTU
-
Windows Linux macOS AIX Solaris z/OS USSOS
-
20.0Teradata
tdplyr 17.20.00.00
tdplyr 17.20.00.00
tdplyr 17.20.00.00
Specifications
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17.20.00.00Version
-
29 Mar 2024Released
-
No TTU Release specifiedTTU
-
Not ApplicableOS
-
No Teradata Release specifiedTeradata
teradatamlspk 20.00.00.00
teradatamlspk 20.00.00.00
teradatamlspk 20.00.00.00
Specifications
-
20.00.00.00Version
-
29 Mar 2024Released
-
No TTU Release specifiedTTU
-
Not ApplicableOS
-
No Teradata Release specifiedTeradata
teradatamlspk - Teradata Python package for running Spark workloads on Vantage
teradatamlspk - Teradata Python package for running Spark workloads on Vantage
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Details
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 >= 20.00.00.03
- PrettyTable
- Nbformat
- pytz
- Prerequisite: Python >= 3.9.0 on the client machine
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
teradatamlspk - Teradata Python package for running Spark workloads on Vantage
teradatasqlalchemy 20.00.00.00
teradatasqlalchemy 20.00.00.00
teradatasqlalchemy 20.00.00.00
Specifications
-
20.00.00.00Version
-
28 Mar 2024Released
-
No TTU Release specifiedTTU
-
Not ApplicableOS
-
No Teradata Release specifiedTeradata
teradataml 20.00.00.00
teradataml 20.00.00.00
teradataml 20.00.00.00
Specifications
-
20.00.00.00Version
-
28 Mar 2024Released
-
No TTU Release specifiedTTU
-
Not ApplicableOS
-
No Teradata Release specifiedTeradata