DP-3011: Implementing a Data Analytics Solution with Azure Databricks

ExistBI is a Microsoft Partner

Course Description

In this 1-day DP-3011 Implementing a Data Analytics Solution with Azure Databricks training, you will learn the practice-oriented implementation of a data analysis solution with Azure Databricks. The focus is on imparting in-depth knowledge to implement data analysis projects in the Azure Databricks environment. Key concepts, methods and tools are covered to enable effective use of the platform for data analysis and business intelligence. The aim is for participants to be able to independently implement and optimize data analysis solutions in Azure Databricks after the training.

Prerequisites
There are no prerequisites for this course.

Audience
This course is designed for Data Engineers and Data Analysts.

Course Summary

Next Public Course Dates

UK & Europe:

  • 10 August 2026
  • 24 August 2026
  • 14 September 2026

US & Canada:

  • 3 August 2026
  • 17 August 2026
  • 21 September 2026

More dates

Duration
  • 1 Day
Pre-requisite
  • None
Audience
  • Business Intelligence Professionals
  • Data Analysts
  • Data Scientists

Course Modules

  • Explore Azure Databricks
  • Using Apache Spark in Azure Databricks
  • Using Delta Lake in Azure Databricks
  • Using SQL Data Warehouses in Azure Databricks

Testimonials

“Our Informatica Data Quality training class was very good.  The trainer knew the tool and the Informatica platform very well. We recommed ExistBI for Informatica training.”

- Darren Jackson, CIO, US Bank

“The Informatica B2B session was awesome, the materials were accurate and Jean was a really good instructor”

- James Martin, Manager, Business Intelligence, Large US Company

“The trainer was INCREDIBLE. He was extremely passionate, made sure to consistently ask if anybody needed help, logged on early to answer any questions, and was an overall great human being.”

- Salvatore, Hilton Grand Vacations

Upcoming Public Virtual Live Instructor-led Course Dates

UK & Europe:

US & Canada:

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