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 for Azure Databricks

• Use Data Governance tools Unity Catalog and Microsoft Purview

• Ingest data using Azure Databricks

• Using the different data exploration tools in Azure Databricks

• Analyse data with DataFrame APIs

• 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

• How to manage ACID transactions using Delta Lake

• How to use schema versioning and time travel in Delta Lake

• How to maintain data integrity with Delta Lake

• Describe Delta Live Tables

• Ingest data into Delta Live Tables

• Use Data Pipelines for real time data processing

• The key components and benefits of Azure Databricks Workflows

• How to deploy workloads using Azure Databricks Workflows

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 at Lumify Work courses

Who is the course for?

• Data Engineers

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.