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How to Query External Data in BigQuery?
- BigQuery is a powerful data warehouse solution on Google Cloud Platform known for its speed, scalability, and simplicity.
- External data sources in BigQuery allow querying data directly from external storage systems like Google Cloud Storage, Bigtable, Google Drive, and Cloud SQL without loading it into BigQuery.
- External data sources can save time, reduce storage costs, and provide flexibility with large or frequently changing datasets.
- Supported external sources include Google Cloud Storage, Google Drive, Cloud Bigtable, and Cloud SQL.
- Steps to query external data include uploading data to a GCP Bucket, creating a table using the uploaded data, and choosing between Native and External tables.
- Native tables copy data into BigQuery, while External tables keep data in external sources with metadata in BigQuery.
- Limitations of working with External Data Sources include slower query performance, no query caching, and limited partitioning and clustering support.
- For reliable results and better performance, consider loading data into native BigQuery tables instead of querying external sources.
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