Building a Data Trust Score Engine on Google Cloud with BigQuery, Data Catalog & Vertex AI

1. 1Build a data warehouse using BigQuery to store and manage data
2. 2Configure Data Catalog to discover, manage, and understand data assets
3. 3Train a machine learning model using Vertex AI to predict data trust scores
4. 4Integrate the model with BigQuery and Data Catalog to generate trust scores
5. 5Test and validate the data trust score engine using sample data

Data engineers, data scientists, and product managers can benefit from this tutorial to ensure data quality and build trust in their data pipelines

💡 A data trust score engine can help ensure data quality and reliability by assigning a trust score to each data asset based on its accuracy, completeness, and consistency

🚀 Build a data trust score engine on Google Cloud with BigQuery, Data Catalog, and Vertex AI to ensure data quality and reliability! 💡