<ul><li>To efficiently work on BigQuery, it is important to familiarize yourself with the BigQuery UI console.</li><li>After logging in to Google Cloud Console, navigate to BigQuery from the hamburger menu.</li><li>The BigQuery Explorer leads you to the Query Editor when you click on 'SQL QUERY' button.</li><li>The Query Editor allows you to write and execute SQL queries and work on multiple queries simultaneously.</li><li>Apart from the SQL Query Editor, you can create Python notebooks, Data Canvases, PySpark Procedures, and more.</li><li>In the Job history panel at the bottom, you can view detailed information about BigQuery job executions.</li><li>The Left Side Navigation Bar in BigQuery is divided into sections like Pipelines, Governance, Administration, and Migration.</li><li>Sections like Pipelines focus on data ingestion, transformation, and scheduling within BigQuery.</li><li>Governance sections handle data security, access control, and policy management in BigQuery.</li><li>Administration sections provide tools for monitoring, performance optimization, and capacity management in BigQuery.</li></ul>

Quick Tour on BigQuery UI

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