Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://developers.google.com/bigquery/docs/migration-intro below:

Introduction to BigQuery Migration Service

Stay organized with collections Save and categorize content based on your preferences.

This document provides an overview of the BigQuery Migration Service.

The BigQuery Migration Service is a comprehensive solution for migrating your data warehouse to BigQuery. It includes features that help you with each phase of migration, including assessment and planning, SQL translation for a variety of SQL dialects, data transfer, and data validation. Together, these tools help you accelerate migrations and reduce risk, shortening the time to value.

The BigQuery Migration Service includes the following features:

• BigQuery migration assessment: Assess and plan your data warehouse migration by running a BigQuery migration assessment.
• SQL translation tools: The translation tools automate the conversion of your SQL queries into GoogleSQL, including Gemini-enhanced SQL customization. You can use the batch SQL translator to migrate your SQL scripts in bulk, or the interactive SQL translator to translate individual queries. You can also use the SQL translation API to migrate your workloads to BigQuery.
• BigQuery Data Transfer Service: Set up a data transfer that loads data from your data source to BigQuery. For more information, see What is the BigQuery Data Transfer Service?.

You can also use the following open-source tools to help you with your migration process:

• Data migration tool: Use the data migration tool to automate your data warehouse migration to BigQuery. The tool uses the BigQuery Data Transfer Service, the BigQuery translation services, and the data validation tool to transfer data, translate and validate DDL, DML, and SQL queries.
• Data validation tool: After migrating your data to BigQuery, run the data validation tool to validate that your source and destination tables match.
• BigQuery permission mapper: Use the permission mapper to automate the creation and maintenance of user-modifiable permission maps. You can use the permission mapper to analyze and reconcile duplicate permissions and user groups, while also generating error reports. The tool outputs JSON and Terraform scripts for BigQuery group, user, and binding creation.
• Cloud Composer templates: Use Cloud Composer templates to simplify the creation of new Airflow DAGs or the migration of existing orchestrated jobs from on-premise to the cloud.
• Cloud Foundation Fabric: View Terraform examples and modules for Google Cloud, including an organization-wide landing zone blueprint, reference blueprints for network patterns and product features, and a library of adaptable modules.

Quotas and limits apply to the number of jobs as well as the size of files. For more information on migration service quotas and limits, see Quotas and limits.

There is no charge to use the BigQuery Migration API. However, storage used for input and output files incurs the normal fees. For more information, see Storage pricing.

Additionally, you can use the cost estimation functionality in Google Cloud Migration Center to generate a cost estimate of running your data warehouse setup that you migrate to BigQuery. For more information, see Start a cost estimation and Specify data warehousing requirements.

• For more information on batch SQL translator, see Batch SQL translator.
• For more information on using the interactive SQL translator, see Interactive SQL translator.
• For more information on BigQuery migration assessment, see BigQuery migration assessment.
• Learn about the Data Validation Tool.
• For information about quotas and limits for the BigQuery Migration Service, see Quotas and limits.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["BigQuery Migration Service offers a full suite of tools for data warehouse migration, covering assessment, SQL translation, data transfer, and validation."],["The service includes both batch and interactive SQL translators that support multiple SQL dialects, aiding in the preparation of queries and scripts for BigQuery."],["The BigQuery Data Transfer Service streamlines and manages the data migration process from existing data warehouses to BigQuery."],["There is no direct cost to use the BigQuery Migration API itself, but standard storage fees apply for input and output files."],["Users can estimate the cost of running their migrated data warehouse setup on BigQuery using the cost estimation functionality in Google Cloud Migration Center."]]],[]]

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4