Tag: Teradata

BigQuery Python Teradata Aug. 28, 2023

Migrating SQL Workflows from Teradata to BigQuery using Python - This article explores how to create a migration workflow for Batch SQL Translation from Teradata to BigQuery using Python.

BigQuery Data Analytics Official Blog Teradata Feb. 21, 2022

Speed up your Teradata migration with the BigQuery Permission Mapper tool - The BigQuery Permission Mapper tool eases the migration of a customer’s Teradata access rights codes to Google Cloud IAM by automating the permissions mapping process between the two data warehouse solutions.

BigQuery Official Blog Teradata Oct. 11, 2021

BigQuery migrations made easy - Announcing BigQuery Migration Service, a set of free-to-use tools to help you with your end-to-end migrations to BigQuery.

BigQuery Data Analytics Official Blog Teradata July 20, 2020

Use IAM custom roles to manage access to your BigQuery data warehouse - When you’re migrating your data warehouse from Teradata to BigQuery, pay attention to mapping user permissions using identity and access management tools.

Big Data BigQuery Official Blog Teradata Oct. 21, 2019

Migrating Teradata to BigQuery - Solution series that helps you transition from a Teradata data warehouse to BigQuery.

Big Data BigQuery Teradata Sept. 23, 2019

Teradata to Google BigQuery Migration. Converting the code - This article provides instructions on how to extract the schema of tables, views and SQL Queries from Teradata and convert it into BigQuery.

Big Data Teradata Nov. 20, 2017

Transitioning from Data Warehousing in Teradata to GCP Big Data - Article describes how you can transition from on-premises and cloud data warehousing to Google Cloud Platform.

Infrastructure Teradata July 3, 2017

Defining a Reference Architecture for Teradata-to-Google Cloud Platform Data Warehouse Conversions - Describing an architectural framework for conversions of data warehouses from Teradata to the Google Cloud Platform.


Latest Issues


Zdenko Hrček
Třebanická 183
Prague, Czech Republic
Phone: +420 777 283 075
Email: [email protected]