Looker is a business intelligence software and big data analytics platform that helps you explore, analyse and share real-time business analytics easily. It is a one stop solution for all the analytical needs of your organization. It supports Modern BI & Analytics by creating dynamic dashboards for more in-depth analysis and giving teams access to reliable & accurate data that helps in making well informed-decisions. Looker powers Integrated Insights i.e the entire Looker platform works seamlessly with your existing BI setup and in-turn empower your teams to make more effective, data-informed decisions. The Data-Driven Workflows in Looker will definitely save you a lot of time & money by putting your data to work on your business by allowing you to take risk averse decisions backed by real facts about your business. Looker’s platform is agile enough to simulate any workflow. It allows you to create customised applications by providing a purpose built tool that users need, while creating data driven experiences that people love!!!

Prerequisites:

• Basic understanding of data analytics and business intelligence concepts.
• Familiarity with database management and SQL queries.
• Knowledge of user authentication protocols (e.g., LDAP, SAML, OpenID Connect) is beneficial.
• Experience with version control systems, particularly Git

Table of contents

1. Access Control and Permission Management

1.1 Users and Groups
1.2 Controlling User Content Access
1.3 Controlling Feature and Data Access
1.4 How Content Access and Permissions Interact
1.5 Making Use of Your User Permission Infrastructure (LDAP, SAML, and OpenID Connect)

2. Clustering Looker

2.1 Overview
2.2 Required Components
2.3 Setting Up the Cluster
2.4 Finding Your Git SSH Deploy Keys
2.5 Modifying a Looker Cluster
2.6 Updating a Cluster to a New Looker Release

3. Creating Connections Tutorial

3.1 General Steps for Creating a Connection
3.2 An Outline of How to Connect to a Database
3.3 Next Steps

4. Creating Looker Usage Reports with System Activity Explores

4.1 Using System Activity Explores for Looker History and Usage Data
4.2 Guided Analyses in System Activity Labs Feature
4.3 Advanced Concepts

5. Aggregate Awareness

5.1 Overview
5.2 Using Aggregate Awareness to Optimize Database Querying
5.3 Adding Aggregate Tables to Your Project
5.4 Designing Aggregate Tables
5.5 Caching Queries and Rebuilding PDTs with Data Groups

Looker with Data Visualization training provides essential knowledge for effectively managing access, optimizing performance, and leveraging Looker’s capabilities for data analysis and reporting.

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