Unlock BigQuery's full potential with Looker: Make data analysis simple and scalable

Introduction

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.

  • Build trustworthy insights with Looker’s semantic model, which makes BigQuery easier to use, faster, and more reliable for business users
  • Uncover valuable intelligence with Looker as it enhances BigQuery exploration with an intuitive interface, guided analysis, and interactive visualizations
  • Perform advanced analytics and machine learning as Looker's integration with Vertex AI allows you to directly apply powerful machine learning models to your BigQuery data without the need for complex data pipelines
  • Develop custom applications by going beyond dashboards and creating immersive data experiences on top of your BigQuery data
Transform your BigQuery data into interactive stories and data-driven narratives
Transform your BigQuery data into interactive stories and data-driven narratives

Benefits

Enhanced governance and consistent definitions

  • Looker’s semantic model (LookML) translates BigQuery’s complex SQL into a more user-friendly language, and creates a single source of truth for metrics and dimensions, ensuring everyone uses the same definitions across the organization
Looker and BigQuery diagram
Looker and BigQuery diagram

Unmatched scalability and performance

  • BigQuery's massive parallel processing power handles immense datasets with ease, while Looker's optimized integration ensures fast queries and smooth visualizations

Actionable insights for everyone

  • Looker's intuitive interface and semantic layer make complex BigQuery data accessible to all users, regardless of technical skill; everyone can explore, analyze, and create custom reports, empowering data-driven decision-making across your organization

End-to-end data solution

  • From raw data storage in BigQuery to insightful visualizations and dashboards in Looker, you have a complete solution for your data needs; this streamlined approach simplifies your data stack and reduces the complexity of managing multiple tools
Create user-friendly, informative dashboards powered by your BigQuery data
Create user-friendly, informative dashboards powered by your BigQuery data

Cost-effective cloud solution

  • Both Looker and BigQuery are cloud-based, eliminating the need for expensive hardware and infrastructure; their flexible pricing models allow you to scale your resources up or down as needed, optimizing costs and ensuring that you only pay for what you use

Seamless integration with AI capabilities

  • You can unlock the full potential of your BigQuery data by leveraging Looker's integration with Vertex AI; you can easily build predictive models, identify trends, and gain deeper insights with the power of machine learning and artificial intelligence

Machine learning insights at scale

  • Looker and BigQuery ML (BQML) create a powerful combination, allowing you to build, deploy, and manage machine learning models directly within BigQuery and easily visualize and analyze the results in Looker's user-friendly interface

Key solutions

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.

Simplify complex analysis with semantic search in BigQuery
Simplify complex analysis with semantic search in BigQuery

Some of the solutions available are K-means clustering, ARIMA Plus, and AutoML.

BigQuery performance guardrails

  • With this solution, you can gain an in-depth view into your BigQuery usage and the associated costs. You can set up alerts to long running or high cost queries, and dissect the mechanics and cost behind the most troublesome expensive queries. This webpage provides more details.

BigQuery + Vertex AI + Looker

  • Looker's integration with Vertex AI allows businesses to seamlessly infuse their BigQuery data analysis with the power of machine learning. By directly incorporating AI/ML models into Looker, users can uncover deeper insights of their BigQuery data, generate predictions, and automate decision-making processes—all within a familiar and intuitive interface.
Looker + BigQuery + Vertex AI: your data-driven dream team, now with AI superpowers
Looker + BigQuery + Vertex AI: your data-driven dream team, now with AI superpowers

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.

Simplify complex analysis with semantic search in BigQuery
Simplify complex analysis with semantic search in BigQuery

Get started

Contact your Google Cloud sales representative to learn more.

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