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Google BigQuery Integration

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.

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Google BigQuery Integration

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.

SourceReverse ETL
Frequently Asked Questions

Google BigQuery source is a GCP warehouse data source that enables developers to send data from their Data Warehouse.

Difficulty can vary based on your data structure, data cleanliness and required destinations. Many users choose to simplify implementation by sending warehouse data through secure GCP warehouse data source integration tools like RudderStack.

Pricing for Google BigQuery source can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

Google BigQuery offers a few resources free of charge up to a specific limit. These usage limits are available during and after the free trial period. However, if you go over the usage limits and are no longer in the free trial period, you will be charged according to BigQuery's pricing(https://cloud.google.com/bigquery/pricing)

After signing in to your Google Account, go to Google Cloud Console on the project selector page. Select or Create a Google Cloud project. BigQuery is automatically enabled in new projects. BigQuery also offers a sandbox if you do not want to provide a credit card or enable billing for your project.

BigQuery is SQL, but you can use some NoSQL practices as well. BigQuery can process data stored in other GCP products, including Cloud Storage, the Cloud SQL relational database service, the Cloud Bigtable NoSQL database, Google Drive, and Spanner.

RudderStack Google BigQuery Documentation

Refer to our step-by-step guide and start using Google BigQuery today

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