Google Dataplex is a comprehensive data platform that offers integrated governance for data and AI assets. It provides a centralized approach to discover, manage, monitor, and control data and AI across the platform, ensuring access to reliable data and enhancing large-scale analytics and AI capabilities. Dataplex leverages BigQuery's integrated governance to simplify data lineage, data profiling, and data quality governance. It utilizes Large Language Models (LLMs) to identify hidden relationships within BigQuery, facilitating automatic metadata curation and query recommendations.

Dataplex integrates with Vertex AI, allowing for seamless discovery of AI models, datasets, and related data artifacts across projects and regions while adhering to IAM permissions. It enriches AI artifacts with critical business metadata necessary for informed decision-making.

The BigQuery Universal Catalog uses AI to automate the detection, classification, and metadata extension of multi-modal data stored in Google Cloud. It includes universal semantic search and a business glossary to enhance metadata with relevant business contexts. Additionally, Dataplex supports building data meshes by logically organizing data into domains, improving data accessibility and operational efficiency.

Key Features

• Unified Governance: Streamlines data and AI asset management across their life cycles.
• Data Lineage and Profiling: Automates data source tracking and profiling.
• AI-Driven Insights: Uses LLMs to uncover hidden data relationships.
• Universal Semantic Search: Enables natural language data searches.
• Integration with Vertex AI: Provides unified access to AI models and datasets.
• BigQuery Universal Catalog: Automates metadata management with AI.

Benefits

• Enhanced Data Reliability: Improves data quality through automated governance.
• Increased Productivity: Simplifies data discovery and analysis with AI-driven tools.
• Informed Decision-Making: Enriches AI assets with business metadata for better insights.