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Certification
Cloud
Database

DP-900: Microsoft Azure Data Fundamentals

Dive into Microsoft Azure's data world with our DP-900 course, offering essential data insights and expert exam preparation to unleash the full potential of Azure's data ecosystem
Peter Vogel
System Architect and Principal in PH&V Information Services
DevOps Pre-Requisite Course
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What you’ll learn

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Description

The Microsoft Azure Data Fundamentals (DP-900) course is designed to provide participants with a foundational understanding of essential data concepts and the core services and technologies within the Microsoft Azure data ecosystem. This course is an excellent starting point for individuals who are new to data and aspire to work with data-related technologies in the Azure cloud environment.

Key Course Objectives:

  • Data Fundamentals: Gain a solid understanding of fundamental data concepts, including data types, data sources, data processing, and data storage.
  • Azure Data Services: Explore the wide array of Azure data services, such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Databricks, and more. Learn how these services can be leveraged to manage and process data effectively.
  • Data Storage Solutions: Understand different data storage options available in Azure, including relational databases, NoSQL databases, and data warehouses. Learn when and how to use each storage solution based on specific business requirements.
  • Data Ingestion and Integration: Learn how to ingest data into Azure from various sources, including on-premises data centers, external APIs, and other cloud platforms. Explore data integration techniques to ensure data flows seamlessly within Azure services.
  • Data Processing and Transformation: Discover how to process and transform data using Azure services like Azure Data Factory, Azure Data Lake Analytics, and Azure Databricks. Gain hands-on experience with data pipelines and data transformation tasks.
  • Data Security and Compliance: Learn about data security best practices in Azure, including encryption, access control, and compliance certifications. Understand how Azure helps you maintain data privacy and security.
  • Data Analytics and Insights: Explore the capabilities of Azure for performing data analytics and generating insights using services like Azure Synapse Analytics and Power BI. Discover how to create visualizations and dashboards to communicate data-driven insights effectively.
  • Monitoring and Optimization: Learn how to monitor data workloads in Azure, optimize data performance, and troubleshoot common data-related issues. Understand how to use Azure Monitor and other tools for effective data management.
  • Exam Preparation: Prepare for the Microsoft Azure Data Fundamentals (DP-900) certification exam with comprehensive coverage of the exam objectives and practice questions.

Who Should Attend: This course is ideal for beginners, data enthusiasts, database administrators, data analysts, business intelligence professionals, and anyone looking to kickstart their journey into the world of data using Microsoft Azure services.

Prerequisites: There are no specific prerequisites for this course. However, a basic understanding of cloud computing concepts and some familiarity with Microsoft Azure will be beneficial.

By the end of this course, participants will have a solid foundation in Azure data technologies and will be well-prepared to pursue advanced Azure data certifications or apply their knowledge to real-world data projects within the Azure ecosystem. Join us on this learning journey and unlock the power of data in Microsoft Azure!

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What our students say

About the instructor

Peter Vogel —  System Architect and Principal in PH&V Information Services

He is a passionate and dedicated course instructor whose love for teaching is matched only by his unwavering commitment to outcome-driven learning. He has written multiple books in technology field. With a wealth of experience and expertise in the field of education, Peter has become a leading advocate for a teaching philosophy that prioritizes measurable results and empowers students to achieve their fullest potential.

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