<ul data-eligibleForWebStory="true">Executing queries in Google BigQuery using the bq query command is a common task from the command line.To execute a SQL query with the bq CLI tool, it is advisable to use standard SQL for its enhanced capabilities and clarity.In the bq query command, specifying --use_legacy_sql=false ensures the use of standard SQL over legacy SQL.The basic syntax for running a standard SQL query is: bq query --use_legacy_sql=false "SELECT * FROM my_project.my_dataset.my_table"For queries in the default project, the project ID can be omitted from the command.An example query to retrieve all records from the employees table in test_dataset is demonstrated.Executing the query correctly formats and displays the fetched data in a tabular structure.Using --use_legacy_sql=false in bq query promotes standard SQL usage for improved query writing.Adopting standard SQL is highly recommended for a better query experience in BigQuery.Mastering the bq query command with standard SQL can simplify data exploration and analytics tasks.Utilizing standard SQL enhances query readability and performance in BigQuery.For most BigQuery users, transitioning to standard SQL is the more preferred and powerful approach.Using bq query with --use_legacy_sql=false streamlines the query writing process for various data analysis tasks.The --use_legacy_sql=false flag allows users to leverage the full potential of standard SQL functions.Executing queries in standard SQL with bq query facilitates building complex analytics pipelines efficiently.Practicing and understanding the bq query command with standard SQL can significantly benefit users in their data handling endeavors.