Our platform enables you to connect quickly and easily to Google BigQuery.This article covers the basic requirements that will be needed to run BigQuery connectors.
Before continuing with a step-by-step guide on setting up a Google Cloud Platform connection, 1st, introduce a few basic concepts and requirements.
Basic Concepts
Projects
Projects are top-level containers in the Google Cloud Platform. They store information about billing and authorized users and contain BigQuery data. Each project has a name and a unique ID.
Datasets
A dataset is contained within a specific project. Datasets are top-level containers that organize and control access to your tables and views. A table or view must belong to a dataset, so you must create at least one dataset before using Google BigQuery.
You must create a dataset within your project before adding tables.
Tables
A BigQuery table contains individual records organized in rows. Each record is composed of columns (also called fields). Every table is defined by a schema that describes the column names, data types, and other information.
Basic Requirements
Please follow these steps to get started with BigQuery:
- Select or create a Google Cloud Platform project.
Go to the manage resources page - Make sure that billing is enabled for your Google Cloud Platform project.
Learn how to enable billing - BigQuery is automatically enabled in new projects. To activate BigQuery in a pre-existing project, go to Enable the BigQuery API.
Enable the API
Please review the official Google BigQuery Quickstart Guide to read more.