In the realm of Business Intelligence, the focus has shifted from guesswork to data-driven decision-making. This entails identifying challenges, detecting market trends, and optimizing business operations. At the forefront of BI platforms is Google Looker — a robust tool that empowers organizations to explore, aggregate, model, visualize, and present data in a way that simplifies comprehension.
As projects grow in complexity, Looker offers an intuitive interface composed of multiple views, explores, and models. Some views are shared across explores, while others remain independent. To manage projects efficiently and maximize the potential of embedded analytics, adopting a structured approach is essential. Here, we outline a series of steps to achieve a well-organized model set:
Step 1: Establishing the Base Folder
Begin by creating a foundational folder housing common views applicable to multiple explores. Within this base folder, include shared dimensions and measures.
Step 2: Defining Common Elements
Define common dimensions, measures, and calculations within the base folder views. These elements can be accessed across various explores where the views are employed.
Step 3: Crafting the Extended Folder
Expand your organizational structure with an extended folder, containing subfolders dedicated to specific explores such as Orders and Events. For instance, the Orders subfolder comprises essential base views for the orders explore. This approach accommodates the addition of new views, both interconnected and independent of the orders explore.
Step 4: Customizing Extended Views
Within the extended view, define dimensions, measures, and calculations tailored exclusively for the orders explore. If modifications are needed for certain dimensions or measures, articulate these changes specifically for the orders explore. The newly defined elements will be visible exclusively within the context of the orders explore.
Step 5: Model File Implementation
In the model file, integrate the extended views such as Orders_ext, users_ext, inventory_ext, product_ext, new_users, and existing_users to construct the Orders explore.
Conclusion:
Ultimately, the objective of BI platforms is to present customized data that aligns with the expectations of the intended audience. This approach ensures accessibility for developers who comprehend the model structure and its construction, enabling them to leverage Looker’s power effectively.
Author Name: Ratna Deep Burman
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