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

What you’ll learn

After completing this course, students will be able to:

• Provision an Azure Databricks workspace

• Identify core workloads and personas for Azure Databricks

• Describe key concepts of an Azure Databricks solution

• Describe key elements of the Apache Spark architecture

• Create and configure a Spark cluster

• Describe use cases for Spark

• Use Spark to process and analyse data stored in files

• Use Spark to visualise data

• Describe core features and capabilities of Delta Lake

• Create and use Delta Lake tables in Azure Databricks

• Create Spark catalog tables for Delta Lake data

• Use Delta Lake tables for streaming data

• Create and configure SQL Warehouses in Azure Databricks

• Create databases and tables

• Create queries and dashboards

• Describe how Azure Databricks notebooks can be run in a pipeline

• Create an Azure Data Factory linked service for Azure Databricks

• Use a Notebook activity in a pipeline

• Pass parameters to a notebook

Microsoft Azure at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.

View all Microsoft Azure courses

Who is the course for?

• Data Engineer

Prerequisites

• Fundamental knowledge of data analytics concepts

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.