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Implement vCore-based Azure Cosmos DB for MongoDB.

Units in this learning path:

• Introduction
• Explore Features
• Create Cluster
• Exercise Deploy Cluster
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 33 minutes

Learn how organizations should choose to implement security and governance.

Units in this learning path:

• 1 Introduction
• 2 Prerequisites
• 3 Default
• 4 Implement
• 5 Customer Experience
• 6 Directional Data
• 8 Http
• 9 Exercise
• 10 Check
• 11 Summary

Products: Power Automate, Power Platform, Power Apps

Roles: Administrator, Functional Consultant

Level: Intermediate

Subjects: Data Management

Duration: 54 minutes

Discover the basics of using solutions with cloud flows, including manual and automated options, benefits, and import/export procedures.

Units in this learning path:

• Introduction
• Connection References
• Environment Variable Basics
• Transport Solutions
• Exercise
• Check
• Summary

Products: Power Platform, Power Automate, Dataverse

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Data Management

Duration: 48 minutes

Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

Units in this learning path:

• Introduction
• Dataflows Gen 2
• Explore Dataflows Gen 2
• Dataflow Pipeline
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 60 minutes

Learn how to ingest data into Customer Insights - Data.

Units in this learning path:

• 1 Introduction
• 2 Power Query
• 2b Clean Transform Load Data
• 3 Common Data Model
• 4 Dataverse
• 5 Work with Data
• 6 Refresh
• 8 Check
• 9 Summary

Products: Dynamics 365, Customer Insights Data

Roles: Functional Consultant, Business User, Administrator

Level: Intermediate

Subjects: Data Analytics, Customer Relationship Management

Duration: 45 minutes

Learn how to ingest data from diverse sources into Unity Catalog tables in Azure Databricks using managed connectors, notebooks, SQL commands, streaming, and declarative pipelines.

Units in this learning path:

• Introduction
• Ingest Data Lakeflow Connect
• Ingest Data Notebooks
• Ingest Data SQL Methods
• Ingest Data Cdc Feed
• Ingest Data Spark Structured Streaming
• Ingest Data Auto Loader
• Ingest Data Lakeflow Declarative Pipelines
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 55 minutes

Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

Modules in this learning path:

• Ingest Dataflows Gen2 Fabric
• Use Data Factory Pipelines Fabric
• Use Apache Spark Work Files Lakehouse
• Query Data Kql Database Microsoft Fabric

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Big Data, Data Analytics, Data Engineering, Data Integration, Data Management

Duration: 289 minutes

Azure Stream Analytics provides a real-time data processing engine that you can use to ingest streaming event data into Azure Synapse Analytics for further analysis and reporting.

Units in this learning path:

• Introduction
• Stream Ingestion Scenarios
• Configure Inputs Outputs
• Define Query
• Run Job Ingest
• Exercise Ingest Streaming Data
• Knowledge Check
• Summary

Products: Azure Stream Analytics, Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 74 minutes

Do you want to know how to initialize data during extension installation for Microsoft Dynamics 365 Business Central? Initializing data when you're installing an extension automate many steps that you must otherwise perform manually. By automating this process, you can quickly set up an extension and it becomes more user-friendly.

Units in this learning path:

• 1 Introduction
• 2 Install Logic
• 3 Exercise
• 4 Check
• 5 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Beginner

Subjects: Data Engineering

Duration: 32 minutes

Integrate Azure Cosmos DB for NoSQL with Azure services

Modules in this learning path:

• Consume Azure Cosmos Db SQL API Change Feed Using Sdk
• Handle Events Azure Functions Azure Cosmos Db SQL API Change Feed
• Search Azure Cosmos Db SQL API Data Azure Cognitive Search

Products: Azure Cosmos Db, Azure Cognitive Search

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 117 minutes

Integrate SQL and Apache Spark pools in Azure Synapse Analytics

Units in this learning path:

• Introduction
• Describe Integration Methods Between SQL
• Understand Use Cases for SQL Integration
• Authenticate
• Transfer Data Between SQL Spark Pool
• Authenticate Between Spark SQL Pool
• Exercise Integrate SQL
• Externalize Use of Spark Pools Within Workspace
• Transfer Data Outside Synapse Workspace Using Pyspark Connector
• Knowledge Check
• Summary

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Databases

Duration: 33 minutes

Integrate data with Azure Data Factory or Azure Synapse Pipeline

Units in this learning path:

• Introduction
• Understand
• Describe Data Integration Patterns
• Explain Process
• Understand Components
• Security
• Set Up
• Create Linked Services
• Create Datasets
• Create Activities Pipelines
• Manage Integration Runtime
• Knowledge Check
• Summary

Products: Azure Data Factory, Azure Synapse Analytics

Roles: Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Analytics

Duration: 62 minutes