Data engineering with Azure Databricks

4k+ rating
Instructors

Pubudu Dewagama

  • 20 hours and 30 mins
  • 20 lectures
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Course Description

Master the skills to design, build, and manage big data pipelines with our Data Engineering with Azure Databricks course. This program introduces students to the powerful Azure Databricks platform - combining Apache Spark with Microsoft Azure’s cloud capabilities - to process, analyze, and transform large-scale datasets efficiently.

Through hands-on labs and real-world scenarios, learners will explore data ingestion, ETL (Extract, Transform, Load) processes, and optimized data workflows. This course is ideal for aspiring data engineers looking to work with cloud-based big data technologies and scalable analytics.

What you'll learn

  • Overview of Azure Databricks architecture and components
  • Setting up and managing Databricks workspaces
  • Building data pipelines using Apache Spark
  • ETL techniques for structured and unstructured data
  • Working with Delta Lake for reliable data lakes
  • Optimizing performance and managing clusters
  • Integrating Databricks with other Azure services

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Courses

$200

This course includes:
  • Age : 16 years and above
  • Duration : 2 months (4 sessions per month)
  • Certificate : Yes
  • Syllabus: 15 Topics
  • Format : In-person or Online
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