We provide virtual course about DP-3011: Implementing a Data Analytics Solution with Azure Databricks in english. You will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.
Course content:
Module 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
Module 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
Module 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
Module 4 - Use SQL Warehouses in Azure Databricks:
• Create and configure SQL Warehouses in Azure Databricks
• Create databases and tables
• Create queries and dashboards
Module 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 and english speaking instructor
Course material:
The course fee includes digital course documentation