Building an End-to-End Data Pipeline with Databricks, Azure Blob Storage, and Azure Data Factory

Introduction

In today’s era of data-driven decision-making, a well-architected data pipeline is pivotal for any business. It not only empowers businesses to process large volumes of data but also delivers actionable insights in a timely manner. In this article, we’ll guide you through building a complete end-to-end data pipeline using Databricks, Azure Blob Storage, and Azure Data Factory, revolving around the API used in this previous article linked here.

Building an End-to-End Data Pipeline — Part 1 with Airflow and Python

Introduction

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Prerequisites

To follow this tutorial, you will need:

  • An Azure account.
  • Basic knowledge of PySpark
  • Databricks

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Tags: Azure Blob