What will you learn?
- Selecting the appropriate Azure data service for your specific business needs
- Implementing relational, non-relational, hybrid, and data warehouse solutions in Microsoft Azure
- Deploying storage solutions in Microsoft Azure
- Managing and monitoring Azure data services
- Implementing and deploying data processing solutions in Microsoft Azure
Live training
- Date : July 05, 2021
- Time (GMT) : 14:00:00
- Time (EST) : 09:00:00
- Duration : 120 Minutes
Prerequisites
- The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
Description
This session is a part of Azure DP - 200. In this, you will study about how a Data Engineer works with it to enable an organization to perform Team Data Science projects. They will learn the fundamentals of Azure Databricks and Apache Spark notebooks; how to provision the service and workspaces; and how to perform data preparation task that can contribute to the data science project.
Framework
Enabling Team Based Data Science with Azure Databricks
- Explain Azure Databricks.
- Work with Azure Databricks.
- Read data with Azure Databricks.
- Perform transformations with Azure Databricks.
Demo: Enabling Team Based Data Science with Azure Databricks
- Explain Azure Databricks.
- Work with Azure Databricks.
- Read data with Azure Databricks.
- Perform transformations with Azure Databricks.
Benefits
- Start quickly with an optimized Apache Spark environment.
- Boost productivity with a shared workspace and common languages.
- Turbocharge machine learning on big data.
- Get high-performance modern data warehousing.
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