Introduction

Looker is a modern Business Intelligence (BI) platform. It helps users analyze and share data in real time. It uses LookML to define business logic and ensure consistency. In addition, it supports embedding and API integration.

Moreover, Looker allows developers to embed dashboards into applications. As a result, users can access insights within their workflows. Furthermore, APIs enable automation and customization. Therefore, organizations can build scalable data solutions.

Learner Prerequisites

• Basic understanding of SQL and relational databases
• Familiarity with Looker interface and navigation
• Knowledge of APIs and web services basics
• Basic understanding of authentication methods
• Exposure to programming concepts is helpful

 Table of Contents

1. Introduction to Looker Embedding and APIs

1.1 Overview of Embedded Analytics
1.2 Benefits of Embedding Looker
1.3 Introduction to Looker APIs
1.4 Use Cases for Integration
1.5 Architecture Overview

2. Looker Embedding Fundamentals

2.1 Types of Embedding in Looker
2.2 Embedded Dashboards and Looks
2.3 Embed URLs and Parameters
2.4 User Experience in Embedded Apps
2.5 Security Considerations

3. Authentication and Authorization

3.1 Overview of Authentication Methods
3.2 SSO and OAuth Integration
3.3 Signed Embedding Concepts
3.4 Managing User Sessions
3.5 Access Control in Embedded Environments

4. Working with Looker APIs

4.1 Overview of Looker API Structure
4.2 API Authentication and Tokens
4.3 Making API Calls
4.4 Using SDKs and Tools
4.5 Handling API Responses

5. Advanced Embedding Techniques

5.1 Dynamic Embedding with Parameters
5.2 Customizing Embedded Content
5.3 Embedding with User Attributes
5.4 Multi-Tenant Embedding Strategies
5.5 Performance Optimization

6. Automation with APIs

6.1 Automating Reports and Dashboards
6.2 Scheduling and Delivery via APIs
6.3 Managing Users and Roles Programmatically
6.4 Content Management with APIs
6.5 Workflow Automation

7. Security and Governance in Embedding

7.1 Securing Embedded Content
7.2 Data Access Controls
7.3 Monitoring API Usage
7.4 Preventing Unauthorized Access
7.5 Compliance Best Practices

8. Integration with Applications

8.1 Embedding in Web Applications
8.2 Integration with Backend Systems
8.3 Using APIs in Data Pipelines
8.4 Custom Application Development
8.5 Integration Best Practices

9. Troubleshooting and Optimization

9.1 Debugging Embedding Issues
9.2 Handling API Errors
9.3 Performance Tuning
9.4 Monitoring Integration Health
9.5 Optimization Techniques

10. Real-World Use Cases and Projects

10.1 Embedded Analytics in SaaS Applications
10.2 Customer-Facing Dashboards
10.3 Internal Business Applications
10.4 End-to-End Integration Project
10.5 Capstone Project

Conclusion

This training builds strong skills in Looker embedding and API integration. Moreover, it improves automation and customization capabilities. Therefore, learners can integrate analytics into applications effectively. As a result, they can deliver scalable and secure data solutions. Furthermore, they can apply these techniques in real-world development scenarios.