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Introdução ao serviço de migração do BigQuery
Este documento fornece uma visão geral do serviço de migração do BigQuery.
O serviço de migração do BigQuery é uma solução abrangente para migrar seu armazenamento
de dados para o BigQuery. Ele inclui ferramentas de sem custos financeiros que ajudam em cada fase da migração, incluindo
avaliação e planejamento do Teradata, tradução de SQL para mais de 10 dialetos, transferência
de dados e validação de dados.
Juntas, essas ferramentas ajudam a acelerar migrações e reduzir riscos, encurtando o retorno do investimento.
Na fase de avaliação e planejamento, é possível usar o recurso de avaliação de migração do BigQuery para entender o armazenamento de dados atual. Em seguida, use o
tradutor de SQL em lote
e o
tradutor de SQL interativo
para preparar suas consultas SQL e scripts para trabalhar no BigQuery. Os
tradutores de SQL em lote e interativos são compatíveis com tradução de uma ampla
variedade de dialetos SQL.
As cotas e os limites se aplicam ao número de jobs e ao tamanho dos arquivos.
Para mais informações sobre cotas e limites do serviço de migração, consulte
Cotas e limites.
Preços
Não há custos para usar a API Migration BigQuery. No entanto, o armazenamento usado para arquivos
de entrada e saída gera taxas normais. Para mais informações, consulte preços de armazenamento.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-07-14 UTC."],[[["\u003cp\u003eBigQuery Migration Service offers a full suite of tools for data warehouse migration, covering assessment, SQL translation, data transfer, and validation.\u003c/p\u003e\n"],["\u003cp\u003eThe service includes both batch and interactive SQL translators that support multiple SQL dialects, aiding in the preparation of queries and scripts for BigQuery.\u003c/p\u003e\n"],["\u003cp\u003eThe BigQuery Data Transfer Service streamlines and manages the data migration process from existing data warehouses to BigQuery.\u003c/p\u003e\n"],["\u003cp\u003eThere is no direct cost to use the BigQuery Migration API itself, but standard storage fees apply for input and output files.\u003c/p\u003e\n"],["\u003cp\u003eUsers can estimate the cost of running their migrated data warehouse setup on BigQuery using the cost estimation functionality in Google Cloud Migration Center.\u003c/p\u003e\n"]]],[],null,["# Introduction to BigQuery Migration Service\n==========================================\n\nThis document provides an overview of the BigQuery Migration Service.\n\nThe BigQuery Migration Service is a comprehensive solution for migrating your data\nwarehouse to BigQuery. It includes features that help you with\neach phase of migration, including assessment and planning, SQL translation for\n[a variety of SQL dialects](/bigquery/docs/interactive-sql-translator#supported_sql_dialects),\ndata transfer, and data validation. Together, these tools help you accelerate\nmigrations and reduce risk, shortening the time to value.\n\nThe BigQuery Migration Service includes the following features:\n\n- **BigQuery migration assessment** : Assess and plan your data warehouse migration by running a [BigQuery migration assessment](/bigquery/docs/migration-assessment).\n- **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\n translator](/bigquery/docs/batch-sql-translator) to migrate your SQL scripts in bulk, or the [interactive SQL translator](/bigquery/docs/interactive-sql-translator) to translate individual queries. You can also use the [SQL translation API](/bigquery/docs/api-sql-translator) to migrate your workloads to BigQuery.\n- **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?](/bigquery/docs/dts-introduction).\n\nYou can also use the following open-source tools to help you with your migration process:\n\n- **Data migration tool** : Use the [data migration\n tool](https://github.com/GoogleCloudPlatform/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.\n- **Data validation tool** : After migrating your data to BigQuery, run the [data validation\n tool](https://github.com/GoogleCloudPlatform/professional-services-data-validator) to validate that your source and destination tables match.\n- **BigQuery permission mapper** : Use the [permission\n mapper](https://github.com/GoogleCloudPlatform/professional-services-bigquery-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.\n- **Cloud Composer templates** : Use [Cloud Composer\n templates](https://github.com/GoogleCloudPlatform/professional-services-composer-templates) to simplify the creation of new Airflow DAGs or the migration of existing orchestrated jobs from on-premise to the cloud.\n- **Cloud Foundation Fabric** : View [Terraform examples and modules for\n Google Cloud](https://github.com/GoogleCloudPlatform/cloud-foundation-fabric), including an organization-wide landing zone blueprint, reference blueprints for network patterns and product features, and a library of adaptable modules.\n\nQuotas\n------\n\nQuotas and limits apply to the number of jobs as well as the size of files.\nFor more information on migration service quotas and limits, see\n[Quotas and limits](/bigquery/quotas#migration-api-limits).\n\nPricing\n-------\n\nThere is no charge to use the BigQuery Migration API. However, storage used for\ninput and output files incurs the normal fees. For more information, see\n[Storage pricing](/bigquery/pricing#storage).\n\nAdditionally, you can use the [cost estimation functionality in Google Cloud Migration Center](/migration-center/docs/migration-center-overview)\nto generate a cost estimate of running your data warehouse setup that you\nmigrate to BigQuery. For more information, see\n[Start a cost estimation](/migration-center/docs/estimate/start-estimation) and\n[Specify data warehousing requirements](/migration-center/docs/estimate/specify-datawarehouse-requirements).\n\nWhat's next\n-----------\n\n- For more information on batch SQL translator, see [Batch SQL translator](/bigquery/docs/batch-sql-translator).\n- For more information on using the interactive SQL translator, see [Interactive SQL translator](/bigquery/docs/interactive-sql-translator).\n- For more information on BigQuery migration assessment, see [BigQuery migration assessment](/bigquery/docs/migration-assessment).\n- Learn about the [Data Validation Tool](https://github.com/GoogleCloudPlatform/professional-services-data-validator#data-validation-tool).\n- For information about quotas and limits for the BigQuery Migration Service, see [Quotas and limits](/bigquery/quotas#migration-api-limits)."]]
