DP-900: Introduction to Microsoft Azure Data

Kurssi on suunnattu henkilöille, jotka haluavat ymmärtää datan käsittelyn ja analytiikan perusteet Azure‑ympäristössä. Kurssi sopii erityisesti niille, jotka ovat kiinnostuneita moderneista dataratkaisuista, mukaan lukien Microsoft Fabricin kaltaiset analytiikkakokonaisuudet.

Kurssi on erinomainen lähtökohta henkilöille, jotka ovat kiinnostuneita datapalveluista tai haluavat laajentaa ymmärrystään moderneista data-alustoista Azure-ympäristössä. Kurssi auttaa hahmottamaan dataan liittyvät peruskäsitteet sekä erilaiset tavat käsitellä ja hyödyntää dataa Azuressa, tutustuen myös Microsoft Fabriciin osana modernia data‑ ja analytiikkakokonaisuutta.

Kurssi valmentaa myös DP‑900: Azure Data Fundamentals ‑sertifiointikokeeseen, jonka suorittamalla saat Microsoft Certified: Azure Data Fundamentals -sertifikaatin.

Kurssille ei ole varsinaisia esitietovaatimuksia. Perusymmärrys IT‑ympäristöistä tai aiempi kokemus datan parissa työskentelystä helpottaa kurssin seuraamista, mutta ei ole edellytys osallistumiselle.

Module 1: Explore core data concepts

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

Lessons

• Explore core data concepts and types
• Explore roles and responsibilities in the world of data
• Explore concepts of relational data
• Explore concepts of non-relational data
• Explore concepts of data analytics

After completing this module, students will be able to:

• Demonstrate foundational knowledge of core cloud concepts in a cloud context
• Identify and describe different data categories (relational, non-relational, big data, analytics)
• Explain how core data concepts and technologies are implemented using Azure services
• Understand the basic roles of different data professionals and their responsibilities

Module 2: Explore relational data in Azure

Students will learn the fundamentals of relational database concepts in a cloud environment, explore Azure’s relational data services (such as Azure SQL Database), learn how to provision and deploy cloud-based relational databases, and practice querying relational data using Azure tools.

Lessons

• Explore relational data services in Azure
• Explore provisioning and deploying relational database services in Azure
• Query relational data in Azure

After completing this module, students will be able to:

• Describe relational data offerings on Azure
• Explain how to provision and deploy a relational database instance on Azure
• Query relational data through cloud data solutions in Azure

Module 3: Explore non-relational data in Azure

Students will learn the fundamentals of non-relational (NoSQL) database concepts in a cloud environment, explore Azure’s non-relational data services. This module teaches how to provision and deploy non-relational data services, including Cosmos DB and Azure Storage, and how to store, manage and retrieve non-relational data using Azure tools.

Lessons

• Explore non-relational data services in Azure
• Explore provisioning and deploying non-relational data services on Azure
• Manage non-relational data stores in Azure

After completing this module, students will be able to:

• Describe non-relational data offerings on Azure
• Explain how to provision and deploy non-relational databases on Azure
• Describe non-relational data stores on Azure

Module 4: Explore modern data analytics in Azure

Students will learn the fundamentals of modern data analytic solutions in Microsoft Fabric. The module introduces the key components of large-scale analytics and explains how these are unified within the Fabric platform. Students will also learn how to implement real-time analytics using streaming data sources and how to visualize insights using Power BI.

Lessons

• Examine components of large-scale data analytics and modern data warehouses
• Explore data storage and processing in Fabric
• Explore real-time analytics and streaming data processing
• Get started building with Power BI

After completing this module, students will be able to:

• Describe the architecture and components of modern data analytics solutions in Azure
• Explain how Microsoft Fabric enables unified data ingestion, storage, processing and modeling
• Identify real-time analytics capabilities in Azure and Microsoft Fabric
• Explain what Microsoft Power BI is, including its building blocks and how they work together