DP-600T00: Microsoft Fabric Analytics Engineer Course in US
End-to-End Analytics Mastery
Hands-on experience with Dataflows, Spark, and Delta Lake
Learn to manage and optimise large-scale data systems
Learn from professionals with extensive Microsoft Fabric experience
Manage and optimise large-scale data systems effectively
Convenient and hassle-free payment plans
Flexible learning options
4.78/57678 EnrolledEnrolled Learners
4.78/57678 EnrolledEnrolled Learners
Overview
What our training includes:
- Skilled in using Microsoft Fabric for secure and efficient data ingestion, orchestration, and oversight
- Hands-on expertise with Dataflows Gen2, Apache Spark, and Delta Lake for streamlined data processing
- Experienced in architecting and tuning data warehouses and lakehouses to enhance Power BI performance
- Proficient in handling high-volume data and delivering real-time analytics solutions
- Committed to maintaining data quality, security, and regulatory compliance
- Adept at designing data architectures and scalable storage solutions
- Well-qualified for senior roles in data engineering, analytics strategy, and architecture design
Upcoming sessions
Curriculum
1
Introduction to end-to-end analytics using Microsoft Fabric
2
Get started with lakehouses in Microsoft Fabric
3
Use Apache Spark in Microsoft Fabric
4
Work with Delta Lake tables in Microsoft Fabric
5
Orchestrate processes and data movement with Microsoft Fabric
6
Ingest Data with Dataflows Gen2 in Microsoft Fabric
7
Get started with data warehouses in Microsoft Fabric
8
Get started with Real-Time Intelligence in Microsoft Fabric
9
Get started with data science in Microsoft Fabric
10
Administer a Microsoft Fabric environment
1
Get started with data warehouses in Microsoft Fabric
2
Load data into a Microsoft Fabric data warehouse
3
Query a data warehouse in Microsoft Fabric
4
Monitor a Microsoft Fabric data warehouse
5
Secure a Microsoft Fabric data warehouse
1
Add measures to Power BI Desktop models
2
Design scalable semantic models
3
Optimize a model for performance in Power BI
4
Use tools to optimize Power BI performance
5
Create and manage Power BI assets
6
Enforce Power BI model security
1
Administer a Microsoft Fabric environment
2
Secure data access in Microsoft Fabric
3
Secure a Microsoft Fabric data warehouse
4
Govern data in Microsoft Fabric with Purview
Meet your Trainer
Our Trainers
We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.
Learning Outcomes
After completing this course, you will:
1
Understand the complete analytics workflow with Microsoft Fabric
2
Gain expertise in setting up and managing Microsoft Fabric environments
3
Utilize Dataflows Gen2 for efficient and scalable data ingestion
4
Acquire practical experience with Apache Spark and Fabric notebooks
5
Learn to design and manage data pipelines using Data Factory
6
Develop skills in organizing and optimizing lakehouses within Fabric
7
Emphasize data security and performance scaling through Power BI optimization
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
Our DP-600T00 Microsoft Fabric Analytics Engineer course in US provides learners with hands-on experience in data processing and analytics using Microsoft Fabric. Participants gain practical skills in data ingestion, transformation, and management through real-world exercises with tools like Apache Spark, Delta Lake, and Dataflows Gen2. The course is designed to prepare professionals for higher-level roles in data engineering and analytics.
Yes, earning a Microsoft Fabric certification offers significant career advantages. As businesses increasingly invest in modern data platforms, certified professionals become more attractive to employers. This certification not only opens doors to new job opportunities but also proves your expertise in working with in-demand data analytics tools and technologies.
Microsoft Fabric is growing in popularity because it combines various analytics services, like data engineering, BI, and data science, within a single, integrated platform. Its seamless compatibility with the Microsoft ecosystem (like Power BI, Azure, and OneLake) makes it a top choice for organizations seeking scalable, end-to-end data analytics solutions.
In Microsoft-focused environments, Microsoft Fabric often delivers faster results than Snowflake due to its architecture. With OneLake as its unified storage layer and a no-replication model, data flows through shorter, more efficient pipelines. This leads to improved speed, reliability, and resource optimization, especially for workloads running entirely within the Microsoft stack.
Learners should understand the basics of data modeling, data transformation, and analytics workflows. Familiarity with T-SQL for querying and modifying data is also highly recommended, as the course involves practical exercises that use these concepts in real-time data scenarios.
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