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DP-600 Course: Microsoft Fabric Analytics Engineer
This course covers methods and practices for deploying and managing enterprise-scale data analytics solutions using Microsoft Fabric . Students will leverage existing analytics experience and learn how to use Microsoft Fabric components, including lakes, data stores, notebooks, data streams, and more. data, data pipelines, and semantic models, to create and deploy analytical assets. This course is best suited for those who have the PL-300 certification or similar experience using Power BI for data transformation, modeling, visualization, and sharing. Additionally, students should have prior experience building and implementing enterprise-level data analytics solutions.
The course includes the certification exam as a gift opportunity! *Promotion valid until February 28th only for clients from Spain
Course aimed at
The primary audience for this course is data professionals with experience in data modeling, mining, and analysis. DP-600 is designed for professionals who want to use Microsoft Fabric to build and deploy enterprise-scale data analytics solutions.
Elements of the DP-600 formation
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Introduction to end-to-end analytics with Microsoft Fabric
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Managing Microsoft Fabric
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Ingesting data with Dataflows Gen2 in Microsoft Fabric
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Data Ingestion with Spark Notebooks and Microsoft Fabric
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Use Data Factory pipelines in Microsoft Fabric
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Get started with lake houses in Microsoft Fabric
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Arrange a fabric lake house using an architectural medallion design
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Use Apache Spark on Microsoft Fabric
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Working with Delta Lake Tables in Microsoft Fabric
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Get started with data stores in Microsoft Fabric
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Loading data into a Microsoft Fabric datastore
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Querying a datastore in Microsoft Fabric
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Monitoring a Microsoft Fabric datastore
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Understanding Scalability in Power BI
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Create Power BI model relationships
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Use tools to optimize Power BI performance
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Enforcing Power BI model security
DP-600 Course Content
Exploring end-to-end analytics with Microsoft Fabric
- Describes end-to-end analytics in Microsoft Fabric
- Understand data teams and roles that use Fabric
- Describes how to enable and use Fabric
Microsoft Fabric Management
- Describe Fabric admin tasks
- Navigate the admin center
- Manage user access
Ingesting data with Gen2 data streams in Microsoft Fabric
Data Ingestion with Spark Notebooks and Microsoft Fabric
Using Data Factory Pipelines in Microsoft Fabric
Introduction to lake pools in Microsoft Fabric
Using Apache Spark on Microsoft Fabric
Using Delta Lake Tables in Microsoft Fabric
Protect your Fabric Lake storage
Introduction to data stores in Microsoft Fabric
Loading data into a Microsoft Fabric data store
Querying a data store in Microsoft Fabric
Monitoring a Microsoft Fabric Data Warehouse
Protect your Fabric data storage
Scalability in Power BI
- Describing the importance of creating scalable semantic models
- Implementing Power BI data modeling best practices
- Using the Power BI Large Dataset Storage Format
Create model relationships
- Build relationships.
- Using DAX relationship functions.
- Understanding relationship assessment.
Using tools to optimize Power BI performance
- Optimize solutions using aggregations, dual storage mode, and hybrid tables.
- Optimize queries with performance analyzer.
- Troubleshoot DAX performance issues using DAX Studio.
- Optimizing a data model using Tabular Editor
Applying semantic model security
- Restrict access to Power BI model data with RLS.
- Restrict access to Power BI model objects with OLS.
- Apply good development practices to enforce security for Power BI models.
Prerequisites
This course is best suited for those who have the PL-300 certification or similar experience using Power BI for data transformation, modeling, visualization, and sharing. Additionally, students should have prior experience building and deploying enterprise-level data analytics solutions.
Language
Microsoft Associate Certification
Microsoft Certified: Fabric Analytics Engineer Associate
As a Fabric Analytics Associate Engineer, you should have subject matter expertise in designing, building, and deploying enterprise-scale data analytics solutions.
Level: Intermediate
Role: Data Engineer, Data Analyst
Product: Microsoft Fabric
Subject: Data analytics