Comparing Data Sharing Options (BigQuery and Google Cloud)

Pubblicato il: 14 ottobre 2023
sul canale di: Nodematic Tutorials

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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.

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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

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