Understanding BigQuery Table Types | Native, External, BigLake, OMNI, and Object Tables Explained

Unlock the full potential of Google BigQuery by mastering the different types of tables it offers! In this hands-on tutorial, we dive into:

✅ Native (Standard) Tables
✅ Non-BigLake External Tables
✅ BigLake External Tables
✅ BigQuery Omni
✅ Object Tables

We also perform a detailed comparison of BigLake vs Non-BigLake External Tables, including how permissions and IAM roles impact implementation and security.

By the end of the video, you’ll have a clear understanding of which table type to use, when, and how to implement them efficiently. Whether you're a data engineer, cloud architect, or curious learner, this video is packed with real-world knowledge you can apply immediately.

For more details visit the google's official documentation:
👉 Introduction to tables: https://cloud.google.com/bigquery/doc...
👉 Introduction to external tables: https://cloud.google.com/bigquery/doc...
👉 Introduction to BigLake external tables: https://cloud.google.com/bigquery/doc...
👉 Introduction to connections: https://cloud.google.com/bigquery/doc...
👉 Create and set up a Cloud resource connection: https://cloud.google.com/bigquery/doc...

Non Biglake Create Table Statement:
CREATE EXTERNAL TABLE `tech-excercise.bq_demo_dataset.customer_data_external`
OPTIONS (
format = 'CSV',
uris = ['gs://bq-sample-data/customers-2000000.csv'],
field_delimiter = ',',
skip_leading_rows = 1
);

Biglake Create Table Statement:
CREATE EXTERNAL TABLE `tech-excercise.bq_demo_dataset.customer_data_external_biglake`
WITH CONNECTION `tech-excercise.us-east1.bq-external-conn`
OPTIONS (
format = 'CSV',
uris = ['gs://bq-sample-data/customers-2000000.csv'],
field_delimiter = ',',
skip_leading_rows = 1
);


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