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Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI and data analytics capabilities that help streamline your workflows across the entire data lifecycle. In this video, we'll explore how Google Gemini in BigQuery transforms the experience through assistance and automation. It empowers you with features such as intent-driven development with SQL and Python code assistance, semantic search of data assets, workload optimization, AI-driven data pipelines through Google Cloud BigQuery data transformation, a natural-language-based data journey experience with BigQuery data canvas, and more. Ready to transform your data analysis workflows? Discover how Gemini in BigQuery can unlock new levels of efficiency and productivity. Resources: Learn more in the documentation → https://goo.gle/4aGJ5u9 Read the blog → https://goo.gle/gemini-in-bq-blog Gemini → https://goo.gle/4aKqqxj Try Gemini in Vertex AI → https://goo.gle/4bKd193 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #gemini #googlecloud