Microsoft

Implement a Data Analytics Solution with Azure Databricks DP-3011

  • 1 day
  • 1 upcoming date 1 open for booking
  • $695 per seat

Upcoming dates

Dates Where Status Seat Book
Dec 17 2026 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $695

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About this class

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

What you'll be able to do

  • Explore Azure Databricks
  • Use Apache Spark in Azure Databricks
  • Use Delta Lake in Azure Databricks
  • Use SQL Warehouses in Azure Databricks
  • Run Azure Databricks Notebooks with Azure Data Factory

Before you attend

Successful students start this course with familiarity with notebooks using diverse languages and a Spark engine. Experience with SQL, Python, and Azure tools such as Data Factory.

Course outline

  1. Module 1Explore Azure Databricks

    • Get started with Azure Databricks
    • Identify Azure Databricks workloads
    • Understand key concepts

  2. Module 2Use Apache Spark in Azure Databricks

    • Get to know Spark
    • Create a Spark cluster
    • Use Spark in notebooks
    • Use Spark to work with data files
    • Visualize data

  3. Module 3Use Delta Lake in Azure Databricks

    • Get Started with Delta Lake
    • Create Delta Lake tables
    • Create and query catalog tables
    • Use Delta Lake for streaming data

  4. Module 4Use SQL Warehouses in Azure Databricks

    • Get started with SQL Warehouses
    • Create databases and tables
    • Create queries and dashboards

  5. Module 5Run Azure Databricks Notebooks with Azure Data Factory

    • Understand Azure Databricks notebooks and pipelines
    • Create a linked service for Azure Databricks
    • Use a Notebook activity in a pipeline
    • Use parameters in a notebook

Download the full outline (PDF)

Run this for a team

Private cohorts run on your dates, at your site or online, with the labs pointed at your environment. Above about four people it usually costs less than buying seats.

Or call 916-920-1700, weekdays 8 to 5 Pacific.

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