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In today's data-driven landscape, the ability to share tabular data efficiently can transform collaborative efforts across teams, departments, or with external partners. In this comprehensive guide, we explore the plethora of options provided by Google Cloud, emphasizing BigQuery, and how these can completely revolutionize your approach to data sharing. Key Highlights: Real-time data sharing through various Google Cloud services like Analytics Hub. In-depth look at IAM controls for secure data sharing. Exploration of Dataplex for cataloging, discovery, and access management. Utilization of Cloud Storage for straightforward data exports. Building APIs with Cloud Functions for enhanced data control. Business intelligence solutions like Looker from Google Cloud. Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off) If you are a cloud, DevOps, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel. 0:00 Demonstration Data 1:49 Conceptual Overview 5:26 Flat File Exports (GCS) 7:26 IAM and Security Controls 12:57 Analytics Hub 17:37 Data APIs (Cloud Functions) 20:42 Data Fabric (Dataplex) 22:40 Business Intelligence (Looker) 24:56 Highlights