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Add your ODL content here.

Price: $295.00

Train your entire team with our Private Group Training solutions. AstraTech specializes in creating customized training programs to fit your organization’s unique learning needs and business objectives. Take advantage of multiple student discounts, customized curriculum and flexible scheduling with Private Group Training from AstraTech!

    On-Demand Learning (ODL) is a self-paced training solution designed to work around your individual schedule, budget, and learning needs. Our ODL courses provide you with exclusive access to interactive platforms combining high-quality instructor videos from subject matter experts, official courseware and study materials, hands-on labs, practice exercises, skill assessments and knowledge checks. The modular, self-paced ODL course structure adapts to your unique learning needs and style, providing an optimal training experience.

    Train your entire team with our Private Group Training solutions. AstraTech specializes in creating customized training programs to fit your organization’s unique learning needs and business objectives. Take advantage of multiple student discounts, customized curriculum and flexible scheduling with Private Group Training from AstraTech!

    DP-900T00 Microsoft Azure Data Fundamentals

    $295 - $695 | 1 day

    Upgrade your tech skills with this , training course. Launch your career to the stars with AstraTech IT Certification Training!

    Please select a Learning Method below to get started:

    There are currently no upcoming course dates scheduled. Please complete the form to request a date/receive schedule update notifications:

      • Microsoft Azure
      • Microsoft Technical

      About this Course

      SKILL LEVEL: 
      • Intermediate

      DP-900T00 Microsoft Azure Data Fundamentals Course Outline

      In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. 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 large-scale data warehousing, real-time analytics, and data visualization.

      The audience for this course is 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.

      There are no prerequisites for the Microsoft Azure Data Fundamentals (DP-900) course. However, candidates should have some basic knowledge of computing and the internet, and an interest in data analysis. They should also be familiar with data-related concepts, such as working with spreadsheets and charts.

      • 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

      1 – Explore core data concepts

      • Identify data formats
      • Explore file storage
      • Explore databases
      • Explore transactional data processing
      • Explore analytical data processing

      2 – Explore data roles and services

      • Explore job roles in the world of data
      • Identify data services

      3 – Explore fundamental relational data concepts

      • Understand relational data
      • Understand normalization
      • Explore SQL
      • Describe database objects

      4 – Explore relational database services in Azure

      • Describe Azure SQL services and capabilities
      • Describe Azure services for open-source databases

      5 – Explore Azure Storage for non-relational data

      • Explore Azure blob storage
      • Explore Azure DataLake Storage Gen2
      • Explore Azure Files
      • Explore Azure Tables

      6 – Explore fundamentals of Azure Cosmos DB

      • Describe Azure Cosmos DB
      • Identify Azure Cosmos DB APIs

      7 – Explore fundamentals of large-scale analytics

      • Describe data warehousing architecture
      • Explore data ingestion pipelines
      • Explore analytical data stores
      • Explore platform-as-a-service (PaaS) solutions
      • Explore Microsoft Fabric

      8 – Explore fundamentals of real-time analytics

      • Understand batch and stream processing
      • Explore common elements of stream processing architecture
      • Explore Azure Stream Analytics
      • Explore Apache Spark on Microsoft Azure
      • Explore Realtime Analytics in Microsoft Fabric

      9 – Explore fundamentals of data visualization

      • Describe Power BI tools and workflow
      • Describe core concepts of data modeling
      • Describe considerations for data visualization