Module 1: Introduction to Data Concepts
Module 2: Azure
Data Services Overview
Module 3: Azure
SQL Database
Module 4: Azure
Cosmos DB
Module 5: Azure
Data Lake Storage
Module 6: Azure
Synapse Analytics
Module 7: Data
Security and Compliance in Azure
Module 8: Data
Integration and Orchestration
Prerequisites
1. Basic understanding of cloud computing concepts (beneficial but not mandatory).
2. General IT knowledge.
Certification: Microsoft Certified: Azure Data Fundamentals (Exam DP-900)
Exam Format: Multiple-choice questions, scenario-based tasks
Duration: 60 minutes
Passing Criteria: Typically 700 or higher on a scale of 1000
Topics Covered: All course modules, with emphasis on foundational Azure data concepts and services.
Who Should Attend:
1. Data Professionals
2. IT Professionals
3. Beginners interested in data management and analytics
4. Students and fresh graduates entering the data field
What You'll Learn:
1. Core data concepts and their implementation in Azure
2. Fundamentals of relational and non-relational databases
3. Data warehousing and big data analytics in Azure
4. Data ingestion, processing, and transformation using Azure services
5. Data analysis and visualization with Power BI
6. Security and compliance considerations in Azure data solutions
Target Audience
1. Individuals new to data concepts and Azure cloud technologies.
2. Data Analysts and BI Developers transitioning to Azure data services.
3. IT Professionals exploring career paths in cloud computing and data management.
This course is designed to give participants a comprehensive introduction to data concepts and Microsoft Azure data services. It covers basic principles of data management, relational and non-relational databases, data analytics, and the use of Azure tools and services to handle data in the cloud.
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