Drive Team Excellence with Microsoft Azure Data Fundamentals Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Microsoft Azure Data Fundamentals Training through Edstellar, a premier Microsoft Azure Data Fundamentals training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Microsoft Azure Data Fundamentals group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Microsoft Azure Data Fundamentals is a course that aims to provide foundational knowledge of core data concepts and relevant Microsoft Azure data services. Organizations investing in the course, enable teams to leverage Azure data services and drive efficiency in data management, analysis and decision-making. Professionals taking the Microsoft Azure Data Fundamentals course are exposed to fundamental concepts such as relational and non-relational data, data analytics, data visualization, and core Azure data services like Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage.

Edstellar's virtual/onsite Microsoft Azure Data Fundamentals training course provides curriculum customization options and employs cutting-edge training methodologies. Our trainers are known for their expertise in delivering the Microsoft Azure Data Fundamentals instructor-led training course and have vast experience in navigating the complexities of the cloud platform for data storage, processing, and analysis.

Key Skills Employees Gain from Microsoft Azure Data Fundamentals Training

Microsoft Azure Data Fundamentals skills corporate training will enable teams to effectively apply their learnings at work.

  • Azure Data Services
    Azure Data Services refers to a suite of cloud-based tools for data storage, processing, and analytics. This skill is important for data engineers and analysts to efficiently manage and derive insights from large datasets.
  • Data Storage
    Data Storage refers to the methods and technologies used to save digital information. This skill is important for IT professionals, data analysts, and database administrators to ensure efficient data management and retrieval.
  • Data Processing
    Data Processing involves collecting, organizing, and analyzing data to extract meaningful insights. This skill is important for roles in data analysis, business intelligence, and research, as it drives informed decision-making and enhances operational efficiency.
  • Data Governance
    Data Governance is the management of data availability, usability, integrity, and security. This skill is important for roles in data management, compliance, and analytics, ensuring data quality and regulatory adherence.
  • Data Security
    Data Security involves protecting sensitive information from unauthorized access and breaches. This skill is important for roles in IT, cybersecurity, and data management to ensure compliance and safeguard assets.
  • Data Analytics
    Data Analytics is the process of examining data sets to draw conclusions and inform decisions. This skill is important for roles like data scientist and business analyst, as it drives strategic insights and enhances decision-making.

Key Learning Outcomes of Microsoft Azure Data Fundamentals Training Workshop

Edstellar’s Microsoft Azure Data Fundamentals group training will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Microsoft Azure Data Fundamentals workshop, teams will to master essential Microsoft Azure Data Fundamentals and also focus on introducing key concepts and principles related to Microsoft Azure Data Fundamentals at work.


Employees who complete Microsoft Azure Data Fundamentals training will be able to:

  • Identify core data concepts within the context of Azure services
  • Explain data roles and services available on Azure
  • Apply fundamental relational data concepts in Azure environments
  • Utilize relational database services offered by Azure effectively
  • Implement Azure Storage solutions for non-relational data storage
  • Deploy and manage Azure Cosmos DB for scalable applications

Key Benefits of the Microsoft Azure Data Fundamentals Group Training

Attending our Microsoft Azure Data Fundamentals classes tailored for corporations offers numerous advantages. Through our Microsoft Azure Data Fundamentals group training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Microsoft Azure Data Fundamentals.

  • Equips the team with basic understanding of how to manage data effectively on Azure cloud platform
  • Develops required skills in professionals to leverage Azure data services for strategic planning
  • Provides teams with key insights into utilizing Azure Data services for informed decision-making
  • Instills ideas in professionals for enhancing data security and compliance measures on Azure

Topics and Outline of Microsoft Azure Data Fundamentals Training

Our virtual and on-premise Microsoft Azure Data Fundamentals training curriculum is divided into multiple modules designed by industry experts. This Microsoft Azure Data Fundamentals training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Understand data types and structures
    • Primitive data types
    • Complex data types
    • Data schemas and their importance
  2. Explore data processing techniques
    • Data cleaning and preprocessing
    • Data transformation techniques 
    • Data analysis methods
  1. Identify various data roles in Azure
    • Data architects
    • Data engineers
    • Data analysts
    • Data scientists
  2. Overview of Azure data services
    • Managed services vs. self-managed options
    • Cloud-based data storage and processing solutions
  1. Relational database models
    • Entity-Relationship (ER) diagrams
    • Normalization techniques
    • Relational algebra and calculus basics
  2. SQL databases on Azure
    • Introduction to Transact-SQL (T-SQL)
    • Key features and functionalities of Azure SQL Database
  1. Azure SQL database
    • Deployment options
    • Scaling and performance optimization
    • Security considerations for Azure SQL Database
  2. Azure Database for PostgreSQL
    • Benefits of using PostgreSQL on Azure
    • Management and migration considerations
  1. Blob storage
    • Use cases for blob storage
    • Accessing and managing blob data
    • Security features of Azure Blob storage
  2. Azure Data Lake Storage
    • Big data storage solutions in Azure
    • Data Lake Storage Gen 1 vs. Gen 2
    • Integrating Data Lake Storage with other Azure services
  1. Understanding Cosmos DB architecture
    • Partitioning and scaling in Cosmos DB
    • Globally distributed databases
    • Consistency models in Cosmos DB
  2. Cosmos DB APIs and data models
    • SQL API for familiar data querying
    • NoSQL APIs for flexible data structures
    • DocumentDB vs. MongoDB API options
  1. Azure Synapse Analytics
    • Data warehousing and data lake integration
    • Serverless analytics capabilities
    • Data pipelines and ETL/ELT processes
  2. Azure Databricks
    • Apache Spark cluster management
    • Data science workflows on Databricks
    • Integration with Azure Synapse Analytics
  1. Azure Stream Analytics
    • Real-time data ingestion and processing
    • Stream processing techniques 
    • Integration with Azure IoT and event hubs
  2. Azure HDInsight
    • Apache Hadoop ecosystem on Azure
    • Real-time data processing with Apache Storm
    • Use cases for HDInsight in big data analytics
  1. Power BI basics
    • Connecting to data sources in Power BI
    • Creating reports and dashboards
    • Sharing and collaboration features
  2. Data visualization best practices
    • Chart selection based on data type
    • Design principles for effective data visualization
    • Storytelling with data visualizations

Target Audience for Microsoft Azure Data Fundamentals Training Course

The Microsoft Azure Data Fundamentals training program can also be taken by professionals at various levels in the organization.

  • Data Analysts
  • Data Engineers
  • Cloud Data Specialists
  • IT Support Technicians
  • Business Intelligence Analysts
  • Database Administrators
  • Cloud Architects
  • System Analysts
  • Data Scientists
  • IT Professionals
  • Data Management Specialists
  • Managers

Prerequisites for Microsoft Azure Data Fundamentals Training

Professionals with a basic understanding of core data concepts and how data is created, stored, processed, and Azure cloud can take up the Microsoft Azure Data Fundamentals training course.

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