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4 dages kursus 
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Design and Implement Enterprise-Scale Analytics Solutions Using Azure and Power BI [DP-500T00]

5. - 20. februar 2024 Taastrup
5. - 20. februar 2024 Taastrup
11. - 26. april 2024 Aarhus
11. - 26. april 2024 Aarhus
Flere datoer
DKK  17.999
ekskl. moms
Nr. 91257 A
Tilmeld dig

På kurset får du praktisk viden og metoder til udførelse af avanceret dataanalyse i stor skala. Du udvider din viden om dataanalyse og lærer at forespørge på- og transformere data, implementere og administrere dataanalysemiljø, datamodeller, udforske og visualisere data ved hjælp af Microsoft Purview, Azure Synapse Analytics og Power BI.

Deltagerprofil

Kurset er til dig, som har praktisk erfaring med Microsoft Power BI, herunder design, oprettelse og implementering af dataanalyseløsninger på Enterprise-Level, og som gerne vil lære om de mere avancerede funktioner og hvordan du kan skalere data i stor skala.

Forudsætninger

Du har erfaring med administration af datalagre og databehandling på både cloud og on-premise samt brug af Power Query og DAX (Data Analysis Expressions). Du skal også være dygtig til at forbruge data fra Azure Synapse Analytics og skal have erfaring med at forespørge på relationsdatabaser, analysere data ved hjælp af Transact-SQL (T-SQL) og visualisere data.

Du skal have en grundlæggende viden om data og Azure Data Service svarende til kurset Azure Data Fundamentals Microsoft Azure Data Fundamentals [DP-900T00]. Herudover skal du have praktisk erfaring med at designe og oprette skalerbare datamodeller, rense og transformere data samt anvende avancerede analysefunktioner i Microsoft Power BI. Vi anbefaler, at du har deltaget på kurset Microsoft Power BI Data Analyst [PL-300T00].

Udbytte

  • Du lærer at implementere og administrere et dataanalysemiljø
  • Du kan lave forespørgsler og transformere data
  • Du lærer at implementere og administrere datamodeller
  • Du kan udforske og visualisere data

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Kursusbevis

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Indhold

Modul 1: Introduction to data analytics on Azure
  • This module explores key concepts of data analytics, including types of analytics, data, and storage. Students will explore the analytics process and tools used to discover insights and learn about the responsibilities of an enterprise data analyst and what tools are available to build scalable solutions.
    - Explore Azure data services for modern analytics
    - Understand concepts of data analytics
    - Explore data analytics at scale
    - Manage Power BI artifacts by using Microsoft Purview
Modul 2: Govern data across an enterprise
  • This module explores the role of an enterprise data analyst in organizational data governance. Students will explore the use of Microsoft Purview to register and catalog data assets, to discover trusted assets for reporting, and to scan a Power BI environment.
    - Introduction to Microsoft Purview
    - Discover trusted data using Microsoft Purview
    - Catalog data artifacts by using Microsoft Purview
Modul 3: Model, query, and explore data in Azure Synapse
  • This module explores the use of Azure Synapse Analytics for exploratory data analysis. Students will explore the capabilities of Azure Synapse Analytics including the basics of data warehouse design, querying data using T-SQL, and exploring data using Spark notebooks.
    - Introduction to Azure Synapse Analytics
    - Implement star schema design and query relational data in Azure
    - Analyze data with a serverless SQL pool in Azure Synapse Analytics
    - Optimize data warehouse query design
    - Analyze data with a Spark Pool in Azure Synapse Analytics
Modul 4: Prepare data for tabular models in Power BI
  • This module explores the fundamental elements of preparing data for scalable analytics solutions using Power BI. Students will explore model frameworks, considerations for building data models that will scale, Power Query optimization techniques, and the implementation of Power BI dataflows.
    - Choose a Power BI model framework
    - Understand scalability in Power BI
    - Optimize Power Query for scalable solutions
    - Create and manage scalable Power BI dataflows
Modul 5: Design and build scalable tabular models
  • This module explores the critical underlying aspects of tabular modeling for building Power BI models that can scale. Students will learn about model relationships and model security, working with direct query, and using calculation groups.
    - Create Power BI model relationships
    - Enforce model security
    - Implement DirectQuery
    - Create calculation groups
Modul 6: Optimize enterprise-scale tabular models
  • This module covers key aspects of performance optimization using large-format data. Students will explore optimization using Synapse, Power BI, and external tools.
    - Optimize performance using Synapse and Power BI
    - Improve query performance with hybrid tables, dual storage mode, and aggregations
    - Use tools to optimize Power BI performance
Modul 7: Implement advanced data visualization techniques by using Power BI
  • This module explores data visualization concepts including accessibility, customization of core data models, real-time data visualization, and paginated reporting.
    - Understand advanced data visualization concepts
    - Customize core data models
    - Monitor data in real-time with Power BI
    - Create and distribute paginated reports in Power BI report builder
Modul 8: Implement and manage an analytics environment
  • This module explores key considerations for implementing and managing Power BI. Students will understand key recommendations for administration and monitoring of Power BI, including configuration and management of Power BI capacity.
    - Recommend Power BI administration settings
    - Recommend a monitoring and auditing solution for a data analytics environment
    - Configure and manage Power BI capacity
    - Establish a data access infrastructure in Power BI
Modul 9: Manage the analytics development lifecycle
  • This module explores considerations for deployment, source control, and application lifecycle management of analytics solutions. Students will understand what to recommend and will be able to deploy and manage automated and reusable Power BI assets.
    - Recommend a deployment strategy for Power BI assets
    - Recommend a source control strategy for Power BI assets
    - Perform impact analysis of downstream dependencies from dataflows and datasets
    - Recommend automation solutions for the analytics development lifecycle, including Power BI REST API
    - Deploy and manage datasets by using the XMLA endpoint
    - Deploy reusable assets
Modul 10: Integrate an analytics platform into an existing IT infrastructure
  • This module explores the integration of a Power BI analytics solution into existing Azure infrastructure. Students will understand Power BI tenant and workspace configurations, along with considerations for Power BI deployment in an organization.
    - Recommend and configure a Power BI tenant or workspace
    - Identify requirements for a solution, including features, performance, and licensing strategy
    - Integrate an existing Power BI workspace into Azure Synapse Analyticso
 

Certificering

Dette kursus hjælper dig til forberedelse af eksamen DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI.
Du skal bestille og betale for din eksamen særskilt. Består du din eksamen opnår du titlen Microsoft Certified: Azure Enterprise Data Analyst Associate.
 
Microsoft skriver om denne eksamen:
  • This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data.
  • Candidates for this exam should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.
 
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Vælg dato

Taastrup
5. - 20. februar 2024
Taastrup
5. - 20. februar 2024
Aarhus
11. - 26. april 2024
Aarhus
11. - 26. april 2024
Taastrup
13. - 27. juni 2024
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