الرئيسية/الدورات/بيانات Microsoft وPower BI/DP-500T00 Designing and Implementing Enterprise-Scale Analyt…

بيانات Microsoft وPower BI

DP-500T00 Designing and Implementing Enterprise-Scale Analytics Using Azure and Power BI

صمّم التحليلات على مستوى المؤسسة بـ Azure وPower BI. خلال أربعة أيام تبني كتالوج البيانات وتحكمها بـ Microsoft Purview

4 أياممتوسط30 وحدةDP-500T00Microsoft Certified: Azure Enterprise Data Analyst Associate

نظرة عامة

صمّم التحليلات على مستوى المؤسسة بـ Azure وPower BI. خلال أربعة أيام تبني كتالوج البيانات وتحكمها بـ Microsoft Purview، وتستعلم عن بحيرة البيانات بـ serverless SQL في Azure Synapse، وتحلّل البيانات بـ Apache Spark، وتبني مستودع بيانات علائقياً، وتصمّم نماذج Power BI قابلة للتوسّع، استعداداً لامتحان DP-500.

المنهاج

المحتوى التقني أدناه معروضٌ باللغة الإنجليزية كما ورد في منهاج الدورة، حفاظاً على دقّة المصطلحات.

30 وحدة

Understand the Azure data ecosystem
Explore modern analytics solution architecture

Understand data analytics types
Explore the data analytics process
Understand types of data and data storage

Explore data team roles and responsibilities
Review tasks and tools for data analysts
Scale analytics with Azure Synapse Analytics and Power BI
Strategies to scale analytics

What is Microsoft Purview?
How Microsoft Purview works
When to use Microsoft Purview

Search for assets
Browse assets
Use assets with Power BI
Integrate with Azure Synapse Analytics

Register and scan data
Classify and label data
Search the data catalog

Register and scan a Power BI tenant
Search and browse Power BI assets
View Power BI metadata and lineage

Catalog Azure Synapse Analytics data assets in Microsoft Purview
Connect Microsoft Purview to an Azure Synapse Analytics workspace
Search a Purview catalog in Synapse Studio
Track data lineage in pipelines

What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics

Understand Azure Synapse serverless SQL pool capabilities and use cases
Query files using a serverless SQL pool
Create external database objects

Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark

Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse

Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework

Describe the significance of scalable models
Implement Power BI data modeling best practices
Configure large datasets

Define use cases for dataflows
Create reusable assets
Implement best practices

Understand model relationships
Set up relationships
Use DAX relationship functions
Understand relationship evaluation

Use DAX time intelligence functions
Additional time intelligence calculations

Understand calculation groups
Explore calculation groups features and usage
Create calculation groups in a model

Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices

Use Performance analyzer
Troubleshoot DAX performance by using DAX Studio
Optimize a data model by using Best Practice Analyzer

Create and import a custom report theme
Enable personalized visuals in a report
Design and configure Power BI reports for accessibility
Create custom visuals with R or Python
Review report performance using Performance Analyzer

Describe Power BI real-time analytics
Set up automatic page refresh
Create real-time dashboards
Set-up auto-refresh paginated reports

Get data
Create a paginated report
Work with charts on the report
Publish the report

Elements of data governance
Configure tenant settings
Deploy organizational visuals
Manage embed codes
Help and support settings

Usage metrics for dashboards and reports
Usage metrics for dashboards and reports - new version
Audit logs
Activity log

REST API custom development
Provision a Power BI embedded capacity
Dataflow introduction
Dataflow explained
Create a Dataflow
Dataflow capabilities on Power BI Premium
Template apps - install packages
Template apps - installed entities
Template app governance

Describe the Power BI and Synapse workspace integration
Understand Power BI data sources
Describe Power BI optimization options
Visualize data with serverless SQL pools

Define application lifecycle management
Recommend a source control strategy
Design a deployment strategy

Understand the deployment process
Create a deployment pipeline
Assign a workspace
Deploy content
Work with deployment pipelines

Create reusable Power BI assets
Explore Power BI assets using lineage view
Manage a Power BI dataset using XMLA endpoint

لمن هذه الدورة

محلّلو البيانات ومعماريو ذكاء الأعمال المتمرّسون.

قبل أن تبدأ

A foundational knowledge of core data concepts and how they’re implemented using Azure data services. For more information see Azure Data Fundamentals. Experience designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI. For more information see Power BI Data Analyst.

الشهادة

الشهادة التي تؤهّلك لها

Microsoft Azure

Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

دورة واحدة

بيانات Microsoft وPower BI

يومان

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