What is a BI pipeline in this course?

A BI pipeline in this course is the connected process that moves data from source systems through transformation and storage into a dashboard. The focus is on building that flow so reporting becomes timely, repeatable, and checked for data quality.

When would you use a BI pipeline?

You would use a BI pipeline when reporting depends on multiple data sources and repeated manual cleanup is becoming hard to manage. In this course, it is framed as the move from one-off report building to a more automated reporting workflow.

How does a BI pipeline fit into a broader workflow?

A BI pipeline sits between the systems where data is created and the reports where people explore it. It connects collection, transformation, storage, refresh, and visualization into one repeatable workflow.

How is a BI pipeline different from manual report building?

A BI pipeline is a connected system that loads, transforms, and refreshes data over time, while manual report building usually means repeating separate export and cleanup steps whenever you need an update. The course emphasizes the pipeline approach so reporting is easier to maintain and keep current.

Do you need any prerequisites before learning to build a BI pipeline?

A basic understanding of SQL and general data concepts is helpful before learning to build a BI pipeline. Since the course is intermediate, it assumes you can follow how data is loaded, transformed, and checked rather than starting from database basics.

What tools, platforms, or methods are used in this course?

The course mainly uses Google BigQuery for loading and transforming data, Looker Studio for visualization, and Cloud Functions to automate refreshes. The workflow is taught through an ELT approach, with SQL used to create analysis-ready tables.

What specific tasks will you practice or complete in this course?

You practice connecting source data, loading and transforming it in a warehouse, refreshing clean tables, auditing freshness and accuracy, and linking the results to an interactive dashboard. Together, these tasks show how to build and maintain an end-to-end BI pipeline instead of handling reporting as isolated steps.

Build BI Pipelines

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Build BI Pipelines

Ce cours fait partie de Spécialisation "Brand Equity, Analytics & Marketing Intelligence"

Instructeur : LearningMate

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3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Design, automate, and maintain a BI pipeline integrating multiple data sources into a live Looker Studio dashboard for timely, accurate reporting.

Compétences que vous acquerrez

Catégorie : Cloud-Based Integration
Catégorie : Data Integration
Catégorie : Scripting
Catégorie : Extract, Transform, Load
Catégorie : Business Intelligence
Catégorie : Automation
Catégorie : Data Validation
Catégorie : Looker (Software)
Catégorie : Marketing Analytics
Catégorie : SQL
Catégorie : Interactive Data Visualization
Catégorie : Data Quality
Catégorie : Data Transformation
Catégorie : Google Cloud Platform
Catégorie : Data Warehousing
Catégorie : Dashboard Creation
Catégorie : Data Pipelines
Catégorie : Data Integrity
Catégorie : Data Processing

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mars 2026

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Il y a 3 modules dans ce cours

"Build BI Pipelines" is an intermediate course designed for data analysts, marketers, and business intelligence professionals aiming to master the flow of data from source to insight. If you're looking to graduate from manual report building and embrace scalable automation, this course is your next step. You'll learn to architect a robust pipeline that funnels data from critical sources like ads, CRM, and web analytics directly into Google's BigQuery.

Leveraging the provided prerequisites of basic SQL and data concepts, you will develop hands-on skills in writing transformation scripts, automating data refreshes using Cloud Functions, and building a live, interactive dashboard in Looker Studio. More importantly, you will learn to implement rigorous data-auditing processes to ensure the data is not just present, but fresh and accurate. By the end of this course, you will have built a complete, automated BI pipeline, transforming you from a data user into a data enabler who provides reliable, timely insights that stakeholders can trust.

Détails du module

This module introduces the foundational concepts of a Business Intelligence pipeline. Learners will move from understanding the "why" behind automation to a hands-on experience of building the initial structure. We will explore how companies like Spotify leverage these pipelines and begin connecting data sources into BigQuery, setting the stage for a fully functional and automated system.

Inclus

2 vidéos1 lecture2 devoirs

In this module, learners shift their focus from building the pipeline to making it reliable and trustworthy. They will explore how automated data refreshes work in real‑world environments and learn how to manually refresh their transformations in the BigQuery Sandbox. They will also implement essential data auditing practices to ensure freshness and accuracy. The module emphasizes that data integrity is not a one‑time setup but a continuous process, essential for maintaining stakeholder trust.

Inclus

2 vidéos1 lecture1 devoir

The final module brings everything together. Learners will connect their cleaned and refreshed BigQuery data to Looker Studio to build interactive visualizations. They will also explore how advanced automation works in real‑world environments through an introduction to Cloud Functions, even though automation is demonstrated conceptually in the Sandbox. The module culminates in a final project, where learners build and document a complete BI pipeline from end to end, applying everything they've learned across the course.

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1 vidéo1 lecture2 devoirs

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