Description

Introduction

Looker is a cloud-based Business Intelligence platform used to manage data analytics at scale. It allows administrators to control users, schedule reports, and manage deployments efficiently. Unlike traditional tools, Looker separates data modeling from visualization, which improves governance and control.

In addition, Looker provides strong administrative features such as role management, content scheduling, and version-controlled deployments. As a result, organizations can maintain secure, reliable, and consistent analytics environments. Therefore, Looker administration plays a key role in enterprise BI management.

Learner Prerequisites

• Basic understanding of SQL and databases
• Familiarity with Looker interface and navigation
• Knowledge of BI concepts like dashboards and reports
• Understanding of user roles and permissions
• Exposure to basic system or application administration

Table of Contents

1. Introduction to Looker Administration

1.1 Overview of Looker Admin Console
1.2 Roles and Responsibilities of an Administrator
1.3 Key Administrative Components
1.4 System Architecture Overview
1.5 Governance and Control in Looker

2. User and Access Management

2.1 Creating and Managing Users
2.2 Role-Based Access Control (RBAC)
2.3 Managing Groups and Permissions
2.4 Content Access and Folder Structure
2.5 Security Best Practices for Users

3. Authentication and Security Setup

3.1 Single Sign-On (SSO) Configuration
3.2 OAuth and External Authentication
3.3 Password Policies and Security Settings
3.4 Session Management
3.5 Audit and Access Tracking

4. Content Management in Looker

4.1 Organizing Dashboards and Looks
4.2 Managing Folders and Permissions
4.3 Content Lifecycle Management
4.4 Sharing and Collaboration Settings
4.5 Archiving and Cleanup Strategies

5. Scheduling and Delivery

5.1 Creating Scheduled Reports
5.2 Email and Data Delivery Options
5.3 File Formats and Export Options
5.4 Conditional Scheduling
5.5 Monitoring Scheduled Jobs

6. Data and Job Management

6.1 Understanding Looker Jobs
6.2 Query Scheduling and Queues
6.3 Managing Data Refresh Cycles
6.4 Handling Failed Jobs
6.5 Performance Monitoring

7. Deployment and Version Control

7.1 Development vs Production Environments
7.2 Git Integration in Looker
7.3 Code Promotion Workflow
7.4 Managing Deployments Safely
7.5 Rollback and Recovery Strategies

8. System Configuration and Settings

8.1 Instance Configuration Settings
8.2 Database Connections Setup
8.3 SMTP and Email Configuration
8.4 API and Integration Settings
8.5 Environment Management

9. Monitoring and Maintenance

9.1 System Activity Monitoring
9.2 Performance Tracking
9.3 Error Logs and Debugging
9.4 Usage Analytics
9.5 Health Checks and Maintenance

10. Real-World Administration Use Cases

10.1 Enterprise User Management Setup
10.2 Scheduling at Scale
10.3 Multi-Environment Deployment Strategy
10.4 Security and Compliance Implementation
10.5 Capstone Administration Project

Conclusion

In conclusion, this training builds strong Looker administration skills. Moreover, it helps manage users, schedules, and deployments effectively. Therefore, administrators can ensure secure and smooth BI operations. As a result, organizations achieve better control, reliability, and scalability in their analytics environment. Furthermore, these skills can be applied directly in enterprise-level Looker implementations.