In this Microsoft Azure Data Fundamentals course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Topics covered in this course are found on the Microsoft role-based DP-900 certification exam. Students will learn about core data concepts such as relational, non-relational, big data, and analytics and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization. Microsoft Azure Data Fundamentals Training (DP-900) Benefits In this Azure Data Fundamentals course, you will learn how to: Describe core data concepts. Identify considerations for relational data on Azure. Describe considerations for working with non-relational data on Azure. Describe an analytics workload on Azure. Azure Data Fundamentals Prerequisites Prerequisite certification is not required before taking this course. However, successful Azure Data Fundamentals students start with essential knowledge of computing and Internet concepts and an interest in extracting insights from data. Specifically: Experience using a web browser, such as Microsoft Edge. Familiarity with basic data-related concepts, such as working with data tables in a spreadsheet and visualizing data using charts. A willingness to learn through hands-on exploration. DP-900 Certification Information This course can help you prepare for the following Microsoft role-based certification exam — Exam DP-900: Microsoft Azure Data Fundamentals. Azure Data Fundamentals Instructor-Led Course Outline Module 1: Explore core data concepts Data powers the digital transformation sweeping across organizations and society in general. But what is "data," and how is it represented and used? In this module, you will learn how to: Identify common data formats Describe options for storing data in files Describe options for storing data in databases Describe the characteristics of transactional data processing solutions Describe the characteristics of analytical data processing solutions Module 2: Explore data roles and services Data professionals perform distinct roles in building and managing software solutions and work with multiple technologies and services. In this module, you will learn how to: Identify common data professional roles Identify standard cloud services used by data professionals Module 3: Explore fundamental relational data concepts Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size worldwide. In this module, you'll learn how to: Identify characteristics of relational data Define normalization Identify types of SQL statement Identify everyday relational database objects Module 4: Explore relational database services in Azure Microsoft Azure provides multiple services for relational databases. You can choose the best relational database management system and host relational data in the cloud. In this module, you'll learn how to: Identify options for Azure SQL services Identify options for open-source databases in Azure Provision a database service on Azure Module 5: Explore Azure Storage for non-relational data Azure Storage is a core Microsoft Azure service commonly used to store non-relational data. In this module, you'll learn how to: Describe features and capabilities of Azure blob storage Describe the features and capabilities of Azure Data Lake Gen2 Describe the features and capabilities of Azure file storage Describe features and capabilities of Azure table storage Provision and use an Azure Storage account Module 6: Explore fundamentals of Azure Cosmos DB Azure Cosmos DB provides a highly scalable store for non-relational data. In this module, you'll learn how to: Describe key features and capabilities of Azure Cosmos DB Identify the APIs supported in Azure Cosmos DB Provision and use an Azure Cosmos DB instance Module 7: Explore fundamentals of large-scale data warehousing Organizations use modern data warehousing to build large-scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies you can combine to build a modern data warehousing solution. In this module, you will learn how to: Identify common elements of a modern data warehousing solution Describe critical features for data ingestion pipelines Identify common types of analytical data stores and related Azure services Provision Azure Synapse Analytics and use it to ingest, process, and query data Module 8: Explore fundamentals of real-time analytics Learn about the basics of stream processing and the services in Microsoft Azure that you can use to implement real-time analytics solutions. Compare batch and stream processing. Describe common elements of streaming data solutions Describe the features and capabilities of Azure Stream Analytics Describe features and capabilities of Spark Structured Streaming on Azure Module 9: Explore fundamentals of data visualization Learn the fundamental principles of analytical data modeling and data visualization using Microsoft Power BI as a platform to explore these principles in action. After completing this module, you will be able to: Describe a high-level process for creating reporting solutions with Microsoft Power BI Describe the core principles of analytical data modeling Identify common types of data visualization and their uses Create an interactive report with Power BI Desktop
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