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Learn how to filter data in PostgreSQL using the WHERE clause, logical operators, pattern matching, and subqueries for advanced query control.

Units in this learning path:

• Introduction
• Sample Database Overview
• Where Clause
• Subqueries
• Summary

Products: Azure Database Postgresql

Roles: Database Administrator, Developer

Level: Beginner

Subjects: Databases

Duration: 23 minutes

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. The following courses…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course is the first of two offerings designed to introduce learners to the current market trends in analytics. In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V's of big data, and the challenges associated…

This course is the second of two offerings designed to introduce learners to the current market trends in analytics. Building upon the concepts introduced in Part 1, this course introduces learners to an overview of data lakes, data warehouses,…

Learn how to use a trained machine learning model to generate batch predictions in Microsoft Fabric.

Units in this learning path:

• Introduction
• Fabric Models
• Prepare Data
• Generate Predictions
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management, Machine Learning

Duration: 50 minutes

You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.

Units in this learning path:

• 1 Introduction
• 2 Data Files
• 3 Relational Data
• Parameters
• 4 Nosql Database
• 5 Online Services
• 6 Storage Mode
• 7 Azure Analysis Services
• 8 Performance Issues
• 9 Import Errors
• Lab Prepare
• 10 Check
• 11 Summary

Products: Power Bi, Power Platform

Roles: Data Analyst

Level: Intermediate

Subjects: Data Management

Duration: 106 minutes

Do you want to learn how to build solutions that can use a standardized data structure, and work with other solutions sharing the same data model? Do you want to extend the standard model to support custom solutions? This learning path explains the concepts behind and benefits of Dataverse. Creating an environment, entities, fields and options sets are also discussed.

Modules in this learning path:

• Create Manage Environments
• Powerapps Common Data Service
• Create Manage Entities
• Create Manage Fields Within Entity
• Working with Option Sets
• Load Export Data Create Data Views
• Connect Other Data

Products: Dynamics 365, Power Platform, Dataverse, Power Apps

Roles: Functional Consultant

Level: Beginner

Subjects: Data Management, Data Storage, Information Protection Governance

Duration: 356 minutes

Discover how to utilize AI Builder category classification to tag text with category labels, like emails.

Units in this learning path:

• Introduction
• Solve Problems
• Exercise
• Check
• Summary

Products: AI Builder, Power Apps

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Data Modeling

Duration: 26 minutes

Learn how Azure SQL Database works, the key concepts, and practical examples to help developers effectively utilize Azure SQL Database in their cloud-based applications.

Units in this learning path:

• Introduction
• Explain SQL Database Deployment Options
• Explore Hyperscale Capabilities
• Understand Serverless Compute Tier
• Enable Application Resilience
• Build AI Application
• Exercise Enable Auto Failover Groups
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Databases, Cloud Computing, Artificial Intelligence

Duration: 82 minutes

Get started with Copilot in Microsoft Fabric for Data Warehouse

Units in this learning path:

• Introduction
• Code Completions
• Chat
• Quick Actions
• Best Practices
• Exercise Copilot Fabric Data Warehouse
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 46 minutes