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At the end of this course, participants should be able to:

• Explore Cosmos DB and NoSQL development in this course.
• Create and manage Cosmos DB databases and containers, implementing scalable and globally distributed database solutions.
• Leverage Cosmos DB for various data storage and management needs.

• Design and implement data models 
• Design and implement data distribution 
• Integrate an Azure Cosmos DB solution 
• Optimize an Azure Cosmos DB solution
• Maintain an Azure Cosmos DB solution 

• Implement and manage a data analytics environment.
• Query and transform data.
• Implement and manage data models.
• Explore and visualize data.

At the end of this “DP-600” course, participants should be able to:

• Understand the fundamentals of end-to-end analytics using Microsoft Fabric, enabling a holistic view of data analytics processes.
• Administer and manage Microsoft Fabric environments effectively, ensuring smooth operation and maintenance.
• Master Dataflows Gen2 in Microsoft Fabric for efficient data ingestion and processing.
• Gain proficiency in using Spark and Microsoft Fabric notebooks for data ingestion and exploratory data analysis.
• Create and manage Data Factory pipelines, enhancing data integration and workflow automation in Microsoft Fabric.
• Get started with lakehouses in Microsoft Fabric, learning how to leverage them for combining the best elements of data lakes and data warehouses.
• Organize a Fabric lakehouse using the medallion architecture design to optimize data storage and access patterns.

• Describe end-to-end analytics in Microsoft Fabric.
• Describe core features and capabilities of lakehouses in Microsoft Fabric.
• Create a lakehouse.
• Ingest data into files and tables in a lakehouse.
• Query lakehouse tables with SQL.
• Configure Spark in a Microsoft Fabric workspace.
• Identify suitable scenarios for Spark notebooks and Spark job.
• Use Spark dataframes to analyze and transform data.

At the end of this training, participants should be able to:

• Design and implement data warehouses using Microsoft Fabric. 
• Develop skills in building ETL processes to integrate data from multiple sources into the data warehouse.  
• Gain expertise in creating scalable solutions that support analytics and reporting requirements within organizations.

At the end of this course, participants should be able to:

• Implement real-time analytics solutions using Microsoft Fabric in this course.
• Process streaming data and generating real-time insights through advanced analytics capabilities.
• Design and deploy real-time dashboards, participants will be able to monitor and analyze data streams effectively to drive informed decision-making.

At the end of this course, participants should be able to:

• Implement data science and machine learning solutions using Microsoft Fabric.
• Explore data preprocessing techniques and learn to train, deploy, and manage machine learning models to address business challenges effectively.
• Leverage AI services within Microsoft Fabric to optimize processes and enhance decision-making.

At the end of this course, participants should be able to:

• Create dynamic and interactive reports using Microsoft Power BI.
• Gain proficiency in connecting to various data sources, transforming data for reporting purposes, and designing compelling visualizations and dashboards.
• Communicate insights effectively through interactive reports and dashboards.

• Explore core data concepts.
• Identify common data professional roles.
• Identify common cloud services used by data professionals.
• Explore fundamental relational data concept.
• Identify options for Azure SQL services.
• Identify options for open-source databases in Azure.
• Provision a database service on Azure.