Zum Hauptinhalt springen

Create a Customer Insights Pipeline with Airflow and dbt

Manohar Sai Jasti, Analytics Engineer at Workday, guides you through building a simple yet production-ready pipeline that turns raw customer data into actionable insights.
Manohar Sai Jasti
Manohar Sai Jasti

Erstelle dein kostenloses Konto

Üben und Lernpfad deinen Fortschritt.

Weiter mit GoogleWenn du fortfährst, akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und dass deine Daten in den USA gespeichert werden.

Coden mit uns auf

Code-Along ↗
Folien ansehen ↗

Data pipelines are the backbone of modern analytics. But designing them to be both robust and adaptable can be a challenge. In this hands-on session, you’ll learn how to build a complete customer insights pipeline using two of the most powerful tools in the data engineer’s toolkit: Airflow for orchestration and dbt for transformation.

In this code-along webinar, Manohar Sai Jasti, Analytics Engineer at Workday, guides you through building a simple yet production-ready pipeline that turns raw customer data into actionable insights. You’ll learn key principles of pipeline design, how to schedule and manage workflows, and how to ensure your transformations are reliable and testable.

Key Takeaways:

  • Learn how to design and build a data pipeline using Airflow and dbt.
  • Understand best practices for robust, maintainable pipeline architecture.
  • Explore a real-world use case transforming customer data into business insights.

Session Resources (Including link to DataLab notebook)

 

Themen

Data EngineeringData Analysis

Ähnlich

Tutorial

Getting Started with Apache Airflow

Mehr anzeigen →