Microsoft Designing and Implementing Enterprise-Scale | 3-day course

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).

Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.

Zie prijzen

Zeven redenen waarom u met uw cursus voor Firebrand Training moet kiezen

U zult in slechts 3 dagen gecertificeerd zijn. Met ons bent u in recordtijd getraind

Onze cursus is all-inclusive. Een eenmalige contributie bekostigt alle cursusmaterialen, accommodaties en maaltijden.

Slaag de eerste keer voor of volg de training nogmaals. Dit is onze garantie. Wij zijn er zeker van dat u de eerste keer zult slagen voor uw cursus. Mocht dit niet het geval zijn, dan kunt u binnen het jaar terugkomen en enkel voor de accommodatie en examens te betalen. De rest is gratis

U zult meer leren. Een dag met een traditionele training aanbieder duurt over het algemeen van 9 uur 's ochtends tot 17 uur in de middag, met een lange lunchpauze. Met Firebrand Training kunt u rekenen op minstens 12 uur leren per dag met uw instructeur

U zult snellerde theorie beheersen. De kans bestaat dat u een andere manier van leren heeft dan uw omgeving. Wij combineren visuele, auditieve en tastbare leerstijlen, dit zorgt voor een snellere en eenvoudigere manier van leren

U zult studeren met de beste. We hebben het Q-For kwaliteit label, dat onze standaarden en professionaliteit in de training markt erkent. Naast het winnen van nog vele andere prijzen, hebben we inmiddels 134561 professionals getraind en gecertificeerd en we zijn partners met alle grote namen in deze tak van het bedrijfsleven

U zult meer doen dan alleen de cursusstof bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat u uw nieuwe kennis in uw werkomgeving kan toepassen. Onze instructeurs gebruiken demonstraties en hun eigen ervaringen om de dag interessant en boeiend te houden

Benefits

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.

Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.

Beoordelingen

Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 134561 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.41% ons te beoordelen als 'boven verwachting'

"Very well structured! I found the course very useful and the instructor explained everything very well"
AN. (19/3/2024 (Dinsdag) t/m 21/3/2024 (Donderdag))

"I loved the pace and involvement of the coach. the course is very intensive but worth the price. the infrastructure and venue is fantastic aswell."
Andreas Vandenberghe, Allianz Technology SE. (18/3/2024 (Maandag) t/m 24/3/2024 (Zondag))

"This was my 4th Firebrand training. And as usual the location and training was great! If you want to learn a lot, in a very short time. This is the way to go!"
KV, Tuxito. (21/8/2023 (Maandag) t/m 24/8/2023 (Donderdag))

"I liked the firebrand training very much. This training really helped in deepdiving into key Azure security concepts and tools."
Anoniem (20/2/2023 (Maandag) t/m 22/2/2023 (Woensdag))

"De informatie in deze cursus is perfect voor het behalen van de examens. Veel praktijkgerichten voorbelden"
Anoniem, Guide-IT (18/7/2022 (Maandag) t/m 23/7/2022 (Zaterdag))

Cursusdata

Start datum	Eind datum	Status	Locatie
19/2/2024 (Maandag)	21/2/2024 (Woensdag)	Beëindigde cursus - Geef feedback	-
24/6/2024 (Maandag)	26/6/2024 (Woensdag)	Wachtlijst	Landelijk
5/8/2024 (Maandag)	7/8/2024 (Woensdag)	Beperkte beschikbaarheid	Landelijk
16/9/2024 (Maandag)	18/9/2024 (Woensdag)	Open	Landelijk
28/10/2024 (Maandag)	30/10/2024 (Woensdag)	Open	Landelijk
9/12/2024 (Maandag)	11/12/2024 (Woensdag)	Open	Landelijk

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Microsoft - Microsoft Designing and Implementing Enterprise-Scale