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In today's world, we produce vast amounts of unstructured data, making it difficult to find relevant information. This course will provide an understanding of lexical search, its capabilities, and how to use them to harness the full potential of…

Implement Microsoft Fabric Data Agents (chat with your data)

Units in this learning path:

• Introduction
• Data Agent Capabilities
• End to End Scenario
• Azure AI Foundry
• Power Bi
• Exercise Copilot Fabric Data Agents
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 54 minutes

This credential earner demonstrated their applied knowledge in implementing predictive analytics techniques to analyze data and optimize decision making. The earner has knowledge of supervised machine learning practices such as linear regression and logistical classification, and the knowledge on how to optimize these models using different methods such as decision trees. The earner will build and develop their transferable skills and gain real industry experience.

Implement Windows Server Data Deduplication

Units in this learning path:

• Introduction
• Define Architecture Components Functionality of
• Define Use Cases Interoperability of
• Implement
• Manage Maintain
• Knowledge Check
• Summary

Products: Windows Server

Roles: Administrator, Security Engineer, Solution Architect

Level: Intermediate

Subjects: Data Management

Duration: 45 minutes

Implement a Data Analytics Solution with Azure Databricks. (DP-3011)

Modules in this learning path:

• Explore Azure Databricks
• Perform Data Analysis Azure Databricks
• Use Apache Spark Azure Databricks
• Use Delta Lake Azure Databricks
• Build Data Pipeline with Delta Live Tables
• Deploy Workloads with Databricks Workflows

Products: Azure Databricks

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 415 minutes

Implement a Data Analytics Solution with Azure Synapse Analytics

Modules in this learning path:

• Introduction to Azure Synapse Analytics
• Query Data Lake Using Azure Synapse Serverless SQL Pools
• Understand Big Data Engineering with Apache Spark Azure Synapse Analytics
• Use Delta Lake Azure Synapse Analytics
• Design Multidimensional Schema to Optimize Analytical Workloads
• Build Data Pipeline Azure Synapse Analytics

Products: Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Databases, Data Engineering, Data Storage

Duration: 450 minutes

Implement a Data Streaming Solution with Azure Stream Analytics

Modules in this learning path:

• Introduction to Data Streaming
• Ingest Streaming Data Use Azure Stream Analytics Synapse
• Visualize Real Time Data Azure Stream Analytics Power Bi

Products: Azure Stream Analytics, Azure Synapse Analytics, Power Bi

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Analytics, Data Engineering

Duration: 182 minutes

Implement a Lakehouse with Microsoft Fabric

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Lakehouses
• Use Apache Spark Work Files Lakehouse
• Work Delta Lake Tables Fabric
• Ingest Dataflows Gen2 Fabric
• Use Data Factory Pipelines Fabric
• Describe Medallion Architecture

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration, Data Storage

Duration: 436 minutes

Implement a data engineering solution using Azure Databricks

Modules in this learning path:

• Perform Incremental Processing with Spark Structured Streaming
• Implement Streaming Architecture Patterns with Delta Live Tables
• Optimize Performance with Spark and Delta Live Tables
• Ci Cd Workflows Pipelines Azure Databricks
• Automate Jobs Azure Databricks
• Manage Data Privacy and Governance with Azure Databricks
• Use SQL Warehouses Azure Databricks
• Run Azure Databricks Notebooks Azure Data Factory

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 487 minutes

Implement a data modeling and partitioning strategy for Azure Cosmos DB for NoSQL

Modules in this learning path:

• Implement Non Relational Data Model
• Design Data Partitioning Strategy

Products: Azure, Azure Cosmos Db

Roles: Data Engineer, Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 108 minutes

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric. (DP-602T00)

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Data Warehouse
• Load Data Into Microsoft Fabric Data Warehouse
• Query Data Warehouse Microsoft Fabric
• Monitor Fabric Data Warehouse
• Secure Data Warehouse in Microsoft Fabric

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 357 minutes

Implement a non-relational data model

Units in this learning path:

• Introduction
• Whats Difference Between Nosql Relational Databases
• Identify Access Patterns for Your App
• When to Embed Reference Data
• Exercise Measure Performance for Customer Entities
• Choose Partition Key
• Model Small Lookup Tables
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 57 minutes