Google BigQuery and Looker Studio Demo | Data Warehousing and Visualization

In this video, Rohan demonstrates how to use Google BigQuery for data warehousing and Looker Studio for data visualization, covering the complete workflow from project setup to interactive dashboards.

The video starts with creating a project and dataset in Google Cloud, followed by importing a large CSV file containing sales data into BigQuery. It then walks through how to structure and explore the dataset using SQL queries.

Viewers will see how to perform key operations such as selecting data, filtering columns, calculating total profit using aggregation functions, and grouping data by region to derive meaningful insights.

The second part of the video focuses on visualizing this data using Looker Studio, where different chart types like pie charts, donut charts, and bar graphs are used to represent the data clearly. It also demonstrates interactive filtering, allowing users to explore specific categories dynamically 📊

This video is a practical introduction to cloud-based data warehousing and visualization, making it useful for students and beginners exploring modern data analytics tools.

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Видео Google BigQuery and Looker Studio Demo | Data Warehousing and Visualization канала TechCRCE