21. Creating Derived Tables Using LookML |

📊 Creating Derived Tables Using LookML | #GSP858 | Google Cloud | #AISeekho Season 6 | Lab 20

Welcome to #AISeekho Season 6! 🚀 In this lab, we explore Looker, Google Cloud’s powerful data analytics platform, and learn how to create derived tables using LookML for deeper insights and more flexible data modeling.

🔍 Overview
Looker enables business users to analyze and visualize data interactively, while LookML developers customize datasets by creating new fields, tables, and views.

Derived tables help transform raw data into meaningful insights by summarizing, filtering, or restructuring data without altering the underlying database.

In this lab, you'll learn how to create two types of derived tables in LookML:
✅ SQL Derived Tables (SDT) – Defined using custom SQL queries
✅ Native Derived Tables (NDT) – Built using LookML’s modeling layer

🎯 What You'll Learn in This Lab
🔹 Modify an existing LookML project (qwiklabs-ecommerce)
🔹 Create a SQL Derived Table using a custom query
🔹 Build a Native Derived Table with LookML modeling
🔹 Join new views for derived tables to an Explore
🔹 Test LookML changes in development mode
🔹 Use Explore to analyze and validate the derived tables

🛠 Lab Checkpoints
✅ Create a View File for the SQL Derived Table
✅ Create a View File for the Native Derived Table
✅ Join the View for the SQL Derived Table to an Explore

By the end of this lab, you'll be able to enhance data models in Looker, making data analysis more efficient and insightful for business users. 📊🎓

🔗 Start Exploring Now!
Unlock the power of Looker & Google Cloud with this hands-on tutorial! 🚀

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