Looker & Google Cloud BI Solutions

Cloud-Native Business Intelligence with LookML Semantic Layer, Embedded Analytics, Native BigQuery Integration, and API-First Architecture for Modern Data Teams

Implement Looker

Unified Semantic Layer & Cloud-Native Analytics

Looker, now part of Google Cloud, delivers modern cloud-native business intelligence through its unique LookML modeling language that creates a governed semantic layer separating data logic from visualization. This architecture ensures consistent metrics across the organization while enabling self-service exploration for business users. Looker's API-first design enables embedded analytics in applications, workflows, and data-driven automation.

AGM Network's Looker expertise spans LookML development, Looker Studio (formerly Data Studio) integration, embedded analytics implementation, and Google Cloud Platform connectivity. We leverage Looker's native BigQuery integration for high-performance queries, connect to 60+ databases through optimized SQL dialects, and implement row-level security through centralized access controls. Our Looker implementations integrate with dbt for transformation, Git for version control, and Slack/Teams for collaborative analytics.

Our Looker solutions address operational dashboards, executive KPIs, embedded customer-facing analytics, and data democratization. Whether migrating to Looker from legacy BI platforms, implementing Looker for the first time, or optimizing existing Looker instances, AGM Network ensures modeling best practices, performance optimization, and user adoption. Explore our analytics services and BigQuery integration.

LookML Semantic Layer Development

  • LookML Projects: Git-based version control, branches, pull requests
  • Model Definitions: Connection configuration, explore relationships, joins
  • Views: SQL-based views, derived tables, persistent derived tables (PDT)
  • Dimensions & Measures: Calculated fields, aggregations, time dimensions
  • Explores: User-facing data exploration interfaces, join logic
  • Refinements: Extend and override base LookML definitions
  • Parameters: Dynamic SQL generation, user-driven customization
  • Liquid Templates: Advanced conditional SQL logic

Self-Service Exploration & Visualization

  • Explore Interface: Drag-and-drop field selection, filters, pivots
  • Visualization Types: Tables, charts, maps, custom visualizations
  • Look Creation: Save and share specific query visualizations
  • Dashboards: Multi-tile layouts, filters, cross-filtering
  • Drilling: Click-through navigation, modal drill overlays
  • Merged Results: Combine data from multiple explores
  • Scheduling: Automated email delivery, Slack integration
  • Alerts: Threshold-based notifications, anomaly alerts

Embedded Analytics & API Integration

  • Embed SSO: Single sign-on for embedded dashboards
  • Public Embed: Anonymous access for customer-facing analytics
  • iFrame Embedding: Dashboard embedding in web applications
  • Looker API: REST API for programmatic access to data
  • API Explorer: Interactive API documentation and testing
  • Custom Applications: Build apps on Looker data platform
  • Actions: Push data to external systems (Salesforce, S3, webhooks)
  • Extension Framework: React-based custom visualizations and apps

Google Cloud Platform Integration

  • BigQuery Native: Optimized connector, query acceleration
  • BigQuery BI Engine: In-memory analysis for sub-second response
  • Cloud SQL: Managed MySQL, PostgreSQL connections
  • Looker Studio: Combined Looker + Data Studio workflows
  • Vertex AI: ML model predictions in Looker dashboards
  • Cloud Functions: Serverless data processing pipelines
  • Identity & Access: Google Workspace SSO, IAM integration
  • Cloud Storage: Data export to GCS, scheduled transfers

Multi-Database Connectivity & Performance

  • 60+ Databases: Optimized SQL dialects per database type
  • Cloud Warehouses: BigQuery, Snowflake, Redshift, Azure Synapse
  • Traditional Databases: Oracle, SQL Server, MySQL, PostgreSQL
  • PDTs (Persistent Derived Tables): Materialized views for performance
  • Aggregate Awareness: Query rollup tables automatically
  • Symmetric Aggregates: Avoid fan-out issues in joins
  • Connection Pooling: Efficient database connection management
  • Query Optimization: SQL generation tuning, index recommendations

Governance, Security & Administration

  • Row-Level Security: SQL-based access filters, user attributes
  • Field-Level Security: Hide sensitive dimensions/measures by role
  • User Attributes: Dynamic filtering based on user properties
  • Groups & Roles: Role-based permissions, content access
  • Model Sets: Control access to explores and models
  • Version Control: Git integration, dev/prod environments
  • Validation: LookML validator, data tests, CI/CD pipelines
  • Audit Logging: System activity monitoring, compliance reporting

Ready to Build a Governed Data Platform with Looker?

Contact AGM Network to implement Looker for your organization. Our Looker experts will develop your LookML semantic layer, create embedded analytics, and integrate with Google Cloud for scalable modern BI.

Schedule Looker Consultation