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BigQuery is a cloud-based data warehousing and business intelligence tool offered by Google Cloud. It is a fully managed, highly scalable, and cost-effective platform that enables businesses to store, analyze, and visualize large datasets in real-time.
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With BigQuery, you can import data from a variety of sources such as enterprise ERP, CRM, SAP or other systems, as well as Google Cloud Storage, Google Cloud SQL, or from third-party sources such as Amazon S3, Microsoft Azure, etc. Once the data is in BigQuery, you can use SQL-like queries to analyze it, and visualize the results using tools like Looker or third-party BI platforms.
BigQuery is designed to handle large datasets, with support for petabyte-scale data storage and processing. It also offers advanced features like machine learning and real-time streaming analytics, making it a popular choice for organizations looking to gain insights from large and complex datasets.
BigQuery is a cloud-based data warehousing and business intelligence tool offered by Google Cloud. It is a fully managed, highly scalable, and cost-effective platform that enables businesses to store, analyze, and visualize large datasets in real-time.
![](https://oredata.com/wp-content/uploads/2022/12/logo-blue-mini.png)
![](https://upload.wikimedia.org/wikipedia/commons/thumb/5/51/Google_Cloud_logo.svg/2560px-Google_Cloud_logo.svg.png)
![](https://images.squarespace-cdn.com/content/v1/5cc3a6172727be3ac121172d/1558717834001-SKJKOIOAMP3NVLDYLU5Y/hashtag.gif)
With BigQuery, you can import data from a variety of sources such as enterprise ERP, CRM, SAP or other systems, as well as Google Cloud Storage, Google Cloud SQL, or from third-party sources such as Amazon S3, Microsoft Azure, etc. Once the data is in BigQuery, you can use SQL-like queries to analyze it, and visualize the results using tools like Looker or third-party BI platforms.
BigQuery is designed to handle large datasets, with support for petabyte-scale data storage and processing. It also offers advanced features like machine learning and real-time streaming analytics, making it a popular choice for organizations looking to gain insights from large and complex datasets.