Google BigQuery Connect

Google BigQuery data store setup in minutes

Setup the Matatika platform to deliver and process your data in Google BigQuery in minutes.

Automate data from Google BigQuery with no code

Google BigQuery is a cloud-based data warehousing and analytics platform.

Google BigQuery allows users to store, manage, and analyze large datasets using SQL-like queries. It is designed to handle petabyte-scale datasets and can be integrated with other Google Cloud Platform services. BigQuery also offers real-time data streaming and machine learning capabilities, making it a powerful tool for data-driven decision making. Its serverless architecture means that users only pay for the queries they run, making it a cost-effective solution for businesses of all sizes.

Settings

Credentials Path

The file path to the JSON file containing the credentials for accessing the BigQuery API.

Credentials Json

The JSON object containing the credentials for accessing the BigQuery API.

Project

The ID of the Google Cloud project that contains the BigQuery dataset to connect to.

Dataset

The name of the BigQuery dataset to connect to.

Location

The geographic location of the BigQuery dataset.

Batch Size

The number of rows to retrieve per API request.

Fail Fast

Whether to stop processing if an error occurs during data retrieval.

Timeout

The maximum amount of time to wait for a response from the API.

Denormalized

Whether to flatten nested data structures in the BigQuery table.

Method

The HTTP method to use for API requests.

Generate View

Whether to create a BigQuery view based on the query results.

Bucket

The name of the Google Cloud Storage bucket to write query results to.

Partition Granularity

The level of granularity to use when partitioning query results.

Cluster On Key Properties

Whether to cluster query results based on key properties.

Column Name Transforms Lower

Whether to convert column names to lowercase.

Column Name Transforms Quote

Whether to quote column names.

Column Name Transforms Add Underscore When Invalid

Whether to add an underscore to column names that are invalid.

Column Name Transforms Snake Case

Whether to convert column names to snake case.

Options Storage Write Batch Mode

The batch mode to use when writing query results to Google Cloud Storage.

Options Process Pool

The number of worker processes to use for parallel processing.

Options Max Workers

The maximum number of worker processes to use for parallel processing.

Upsert

Whether to update existing rows in the destination table if they match the incoming data.

Overwrite

Whether to overwrite existing rows in the destination table with the incoming data.

Dedupe Before Upsert

Whether to remove duplicate rows from the incoming data before performing an upsert operation.

Stream Maps

The mapping of source columns to destination columns for streaming data.

Stream Map Config

The configuration for the stream mapping.

Flattening Enabled

Whether to flatten nested data structures in the query results.

Flattening Max Depth

The maximum depth of nested data structures to flatten in the query results.


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Google BigQuery

Collect and process data from 100s of sources and tools with Google BigQuery.

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