We provide course about DP-3014: Implementing a Machine Learning solution with Azure Databricks. Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this 1-day course you will learn how to use Azure Databricks to implement machine learning solutions at scale.
Course content:
Modulse 1 - Explore Azure Databricks:
• Provision an Azure Databricks workspace
• Identify core workloads and personas for Azure Databricks
• Describe key concepts of an Azure Databricks solution
Modulse 2 - Use Apache Spark in Azure Databricks:
• Describe key elements of the Apache Spark architecture
• Create and configure a Spark cluster
• Describe use cases for Spark
• Use Spark to process and analyze data stored in files
• Use Spark to visualize data
Modulse 3 - Use Delta Lake in Azure Databricks:
• 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
Modulse 4 - Use SQL Warehouses in Azure Databricks:
• Create and configure SQL Warehouses in Azure Databricks
• Create databases and tables
• Create queries and dashboards
Modulse 5 - Run Azure Databricks Notebooks with Azure Data Factory:
• 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
Audience / prerequisites:
You should be an Azure data engineer with subject matter expertise in designing, implementing, managing, and maintaining Microsoft Azure Virtual Desktop experiences and remote apps for any device.
Language:
• English course material, english speaking instructor
Certification:
This 1-day, instructor-led training will help you prepare for exam DP-203: Data Engineering on Microsoft Azure.