Google Cloud announced new BigQuery capabilities focused on data and AI governance, emphasizing the importance of high-quality, well-governed data in the age of generative AI. While data forms the foundation for training AI models, its governance has often been an afterthought. However, with the rise of AI, it is now front and center of enterprises’ data strategies.
Google Cloud’s Dataplex aims to address data governance challenges by providing a unified governance foundation for the entire BigQuery platform. Dataplex offers features like automated data discovery, curation, and management at scale, minimizing tedious manual governance processes.
One of the key updates to Dataplex is automated cataloging, which now encompasses Vertex AI and operational databases such as Cloud SQL, Spanner, and Bigtable. This feature enables a unified view of data and AI assets. Furthermore, enhanced lineage tracking improves understanding of the data journey by integrating Vertex AI Pipelines and providing column-level lineage for BigQuery.
Dataplex also enhances data discovery through semantic search, allowing users to query data using natural language. Full catalog search capability within BigQuery is coming soon, offering a seamless data discovery experience.
Additionally, Dataplex provides AI-powered data insights by automatically generating suggested questions and validated SQL queries, helping users gain quick insights from their data. Moreover, new governance rules ensure compliance with data policies by enabling users to define metadata-driven rules for BigQuery and Cloud Storage.
In conclusion, the new updates to Dataplex empower organizations to effectively manage the complexities of data governance, paving the way for unlocking the full potential of generative AI. By providing a robust data governance solution, Google Cloud empowers organizations to embrace data-driven innovations and make informed decisions.
