Microsoft - Microsoft Designing and Implementing Enterprise-Scale

Varighet

Varighet:

Bare 3 dager

Metode

Metode:

klasserommet / på nett / Hybrid

Neste dato

Neste dato:

24/6/2024 (Mandag)

Overview

This accelerated Microsoft: Microsoft Designing and Implementing Enterprise-Scale course, covers methods and practices for performing advanced data analytics at scale.

In just 3 days, you’ll learn to use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions. You’ll also learn how to:

  • Build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data.

At the end of this course, you’ll sit the Microsoft exam, and achieve your Microsoft Designing and Implementing Enterprise-Scale certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • People who have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
  • People who 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).

Her er 8 grunner til hvorfor du skal gjennomføre ditt hos Firebrand Training:

  1. Du blir utdannet og sertifisert på bare 3 dager. Hos oss får du din utdanning og sertifisering på rekordtid, en sertifisering du også gjennomfører der og da som en integrert del av den intensive, akselererte utdanningen.
  2. Alt er inkludert. Et engangsbeløp dekker alt kursmaterial, eksamen, kost og losji og tilbyr den mest kostnadseffektive måten å gjennomføre ditt kurs og sertifisering på. Og dette uten noen uannonserte ytterligere kostnader.
  3. Du klarer sertifiseringen første gangen eller kan gå kurset om igjen kostnadsfritt. Det er vår garanti. Vi er sikre på at du vil klare din sertifisering første gangen. Men skulle du mot formodning ikke gjøre det kan du innen et år komme tilbake og kun betale for eventuelle overnattinger og din eksamen. Alt annet er gratis.
  4. Du lærer deg mer.Tradisjonelle utdanningsdager varer fra kl. 09.00 til 16.00 med lange lunsj- og kaffepauser. Hos Firebrand Training får du minst 12 timers effektiv og fokusert kvalitetsutdanning hver dag sammen med din instruktør, uten private eller arbeidsrelaterte, forstyrrende momenter.
  5. Du lærer deg raskere. Vi kombinerer de tre innlæringsmetodene (Presentasjon |Øving| Diskusjon) slik at vi gjennomfører kurset på en måte som sikrer at du lærer deg raskere og lettere.
  6. Du er i sikre hender.Vi har utdannet og sertifisert 134.561 personer, vi er partner med alle de store navn i bransjen og vi har vunnet atskillige utmerkelser, bla. a. "Årets Learning Partner 2010, 2011, 2012, 2013 og 2015” fra Microsoft Danmark og med en vekst på 1430 % siden 2009 er vi årets Gazelle prisvinner på Sjælland, Danmark.
  7. Du lærer deg ikke bare teorien. Vi har videreutviklet kursen og tilbyr flere praktiske øvelser og sikrer på den måten, at du kan bruke dine ferdigheter for å løse daglige praktiske problemstillinger.
  8. Du lærer av de beste. Våre instruktører på er de beste i bransjen og tilbyr en helt unik blanding av kunnskap, praktisk erfaring og pasjon for å lære bort.

Curriculum

Module 1: Implement and manage a data analytics environment (25–30%)

Govern and administer a data analytics environment

  • Manage Power BI assets by using Azure Purview
  • Identify data sources in Azure by using Azure Purview
  • Recommend settings in the Power BI admin portal
  • Recommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets

Integrate an analytics platform into an existing IT infrastructure

  • Identify requirements for a solution, including features, performance, and licensing strategy
  • Configure and manage Power BI capacity
  • Recommend and configure an on-premises gateway in Power BI
  • Recommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2
  • Integrate an existing Power BI workspace into Azure Synapse Analytics
  • Manage the analytics development lifecycle

    • Commit code and artifacts to a source control repository in Azure Synapse Analytics
    • Recommend a deployment strategy for Power BI assets
    • Recommend a source control strategy for Power BI assets
    • Implement and manage deployment pipelines in Power BI
    • Perform impact analysis of downstream dependencies from dataflows and datasets
    • Recommend automation solutions for the analytics development lifecycle, including Power BI

    REST API and PowerShell cmdlets

  • Deploy and manage datasets by using the XMLA endpoint
  • Create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets
  • Module 2: Query and transform data (20–25%)

    Query data by using Azure Synapse Analytics

  • Identify an appropriate Azure Synapse pool when analysing data
  • Recommend appropriate file types for querying serverless SQL pools
  • Query relational data sources in dedicated or serverless SQL pools, including querying partitioned data sources
  • Use a machine learning PREDICT function in a query Ingest and transform data by using Power BI
  • Identify data loading performance bottlenecks in Power Query or data sources
  • Implement performance improvements in Power Query and data sources
  • Create and manage scalable Power BI dataflows
  • Identify and manage privacy settings on data sources
  • Create queries, functions, and parameters by using the Power Query Advanced Editor
  • Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models
  • Module 3: Implement and manage data models (25–30%)

    Design and build tabular models

    • Choose when to use DirectQuery for Power BI datasets
    • Choose when to use external tools, including DAX Studio and Tabular Editor 2
    • Create calculation groups
    • Write calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iterators
    • Design and build a large format dataset
    • Design and build composite models, including aggregations
    • Design and implement enterprise-scale row-level security and object-level security

    Optimize enterprise-scale data models

    • Identify and implement performance improvements in queries and report visuals
    • Troubleshoot DAX performance by using DAX Studio
    • Optimize a data model by using Tabular Editor 2
    • Analyse data model efficiency by using VertiPaq Analyzer
    • Implement incremental refresh
    • Optimize a data model by using denormalization

    Module 4: Explore and visualize data (20–25%)

    Explore data by using Azure Synapse Analytics

    • Explore data by using native visuals in Spark notebooks
    • Explore and visualize data by using the Azure Synapse SQL results pane

    Visualize data by using Power BI

    • Create and import a custom report theme
    • Create R or Python visuals in Power BI
    • Connect to and query datasets by using the XMLA endpoint
    • Design and configure Power BI reports for accessibility
    • Enable personalized visuals in a report
    • Configure automatic page refresh
    • Create and distribute paginated reports in Power BI Report Builder

    Exam Track

    At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

    DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI exam

    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.

    Passing score: 700

    Domains:

    • Implement and manage a data analytics environment (25–30%)
    • Query and transform data (20–25%)
    • Implement and manage data models (25–30%)
    • Explore and visualize data (20–25%)

    What's Included

    Prerequisites

    Before attending this accelerated course, you should have:

    • A foundational knowledge of core data concepts and how they’re implemented using Azure data services.
    • Proficient understanding in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analysing data by using Transact-SQL (T-SQL), and visualizing data.

    Anmeldelser

    Vi har lært opp 134.561 personer på 12 år. Vi ba dem om å anmelde vår akselererte opplæring. Akkurat nå har 96,41% angitt at Firebrand overgikk forventningene:

    "The training for PL-100 is an intense course, jam-packed with references, resources delivered by a super knowledgeable instructor. Would recommend having a sound base knowledge of Microsoft Power Platform before attending. MS Learn provides topics for PL-100 and also a study guide for the exam which is very useful when preparing for exam."
    Jessica Brooks, Kenvue. (3/1/2024 (Onsdag) til 4/1/2024 (Torsdag))

    "Training facilities were great and the hotel onsite is nice."
    Anonymous. (18/12/2023 (Mandag) til 20/12/2023 (Onsdag))

    "It's the best way to learn without any distraction. Training, eat, sleep, shower."
    Anonymous. (13/12/2023 (Onsdag) til 15/12/2023 (Fredag))

    "When learning with Firebrand, everything is taken care of for you. This allows you to pour everything into absorbing and understanding your course content amongst peers."
    ML, Griggster Limited. (3/10/2023 (Tirsdag) til 6/10/2023 (Fredag))

    "Perfect instructor with much knowledge and the ability to bring it to the people. Thank you. The topic is huge but I would have expected a little bit more working together in the system."
    Reinhard Decker, VAT Vakuumventile AG. (10/10/2023 (Tirsdag) til 13/10/2023 (Fredag))

    Kursdatoer

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    19/2/2024 (Mandag)

    21/2/2024 (Onsdag)

    Ferdig - Gi tilbakemelding

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    24/6/2024 (Mandag)

    26/6/2024 (Onsdag)

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    5/8/2024 (Mandag)

    7/8/2024 (Onsdag)

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    16/9/2024 (Mandag)

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