DP-900 - Microsoft Azure Data Fundamentals

Microsoft cours officiels

Ce cours est dispensé en français sur la base d'une documentation pédagogique en anglais.
In this course, students will gain foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. 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 Microsoft Azure. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
These courses help prepare for the exams « Microsoft Certified: Azure Fundamentals exam (DP-900) ».

Modules, dates, inscription

DP-900 - Microsoft Azure Data Fundamentals
Durée
1
Prix
CHF 800.-
Prix/j.
CHF 800.-
Cycle 1
on demand
This course of 1 day is given twice a semeste, from 9:00 am to 12:00 pm and from 1:30 pm to 5:00 pm.
    These courses are given in French on the basis of documentation in French if available (Fra) or in English (Eng). If it is available in both languages, the French version is distributed unless specifically requested by the interested party. The price of the course includes all the pedagogical documentation distributed.

    DP-900 - Microsoft Azure Data Fundamentals

    Target Audience :

    • individuals who want to 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.

    Objectives :

    After completing this course, students will be able to:
    • describe core data concepts in Azure
    • explain concepts of relational data in Azure
    • explain concepts of non-relational data in Azure
    • identify components of a modern data warehouse in Azure

    Prerequisites :

    Before attending this course, students must have:
    • There are no need to have any experience of using Microsoft Azure before taking this course.

    Program :

    This course is composed of 4 modules including lessons and practical work (lab).
    • Explore core data concepts
    • Explore relational data in Azure
    • Explore non-relational data in Azure
    • Explore modern data warehouse analytics in Azure
    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
    • Explore roles and responsiblities in the world of data
    • Describe concepts of relational data
    • Explore concepts of non-relational data
    • Explore concepts of data analytics
    After completing this module, students will be able to:
    • Show foundational knowledge of cloud data services within Azure
    • Identify and describe core data concepts such as relational, non-relational, big data, and analytics
    • Explain how this technology is implemented with Azure
    Module 2: Explore relational data in Azure
    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 explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.
    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 services on Azure
    • Explain provisioning and deploying relational databases 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 database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
    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 services on Azure
    • Explain provisioning and deploying non-relational databases on Azure
    • Decribe non-relational data stores on Azure
    Module 4: Explore modern data warehouse analytics in Azure
    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 Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
    Lessons
    • Examine components of a modern data warehouse
    • Explore data ingestion in Azure
    • Explore data storage and processing in Azure
    • Get started building with Power BI
    After completing this module, students will be able to:
    • Describe processing options available for building data analytics solutions in Azure
    • Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
    • Explain what Microsoft Power BI is, including its building blocks and how they work together
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