Looker and BigQuery are a powerful duo, offering a comprehensive solution for modern data analytics, combining the best of both worlds: BigQuery's massive scalability and speed with Looker's intuitive analytics and visualization capabilities. But what truly sets this duo apart is Looker's semantic model. This innovative layer acts as a translator, simplifying BigQuery's complex data structures into a language that everyone in your organization understands. In addition, with Looker's intuitive interface, Google-easy dashboards, and powerful composability, you can transform raw BigQuery data into actionable knowledge, driving growth and innovation throughout your organization.
Enhanced governance and consistent definitions
Unmatched scalability and performance
Actionable insights for everyone
End-to-end data solution
Cost-effective cloud solution
Seamless integration with AI capabilities
Machine learning insights at scale
Looker + BigQuery ML
Connecting Looker to BigQuery also opens the door to advanced use cases using BQML, BigQuery’s machine learning language. BQML models can be built directly into Looker models, enabling you to address valuable use cases like customer segmentation, forecasting, customer lifetime value, and more, at scale.
Some of the solutions available are K-means clustering, ARIMA Plus, and AutoML.
BigQuery performance guardrails
BigQuery + Vertex AI + Looker
Semantic search block
With this Looker block, you can seamlessly tap into BigQuery's semantic search capabilities, right within your Looker environment. This means you can easily run real-time searches and similarity matching on any combination of fields, feeling empowered to ask complex questions and discover hidden patterns. With this flexible and powerful tool, the possibilities for semantic search are endless.
Contact your Google Cloud sales representative to learn more.