Overview
Microsoft Fabric Analytics Engineer.
This Microsoft course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.
Skills Covered
In this course you will learn to:
- Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Ingest data with Spark and Microsoft Fabric notebooks
- Use Data Factory pipelines in Microsoft Fabric
- Get started with lakehouses in Microsoft Fabric
- Organize a Fabric lakehouse using medallion architecture design
- Use Apache Spark in Microsoft Fabric
- Work with Delta Lake tables in Microsoft Fabric
- Get started with data warehouses in Microsoft Fabric
- Load data into a Microsoft Fabric data warehouse
- Query a data warehouse in Microsoft Fabric
- Monitor a Microsoft Fabric data warehouse
- Understand scalability in Power BI
- Create Power BI model relationships
- Use tools to optimize Power BI performance
- Enforce Power BI model security
Who Should Attend
The primary audience for this course are data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
Course Curriculum
Prerequisites
This course is best suited for those who have the Microsoft Certified: Power BI Data Analyst Associate certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying enterprise data analytics solutions.
Download Course Syllabus
Course Modules
Data ingestion is crucial in analytics. Microsoft Fabric’s Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online.
Learning objectives
In this module, you’ll learn how to:
- Describe Dataflow (Gen2) capabilities in Microsoft Fabric
- Create Dataflow (Gen2) solutions to ingest and transform data
- Include a Dataflow (Gen2) in a pipeline
Prerequisites
Before you start this module, you should be familiar with Microsoft Fabric lakehouses and core concepts.
Discover how to use Apache Spark and Python for data ingestion into a Microsoft Fabric lakehouse. Fabric notebooks provide a scalable and systematic solution.
Learning objectives
By the end of this module, you’ll be able to:
- Ingest external data to Fabric lakehouses using Spark
- Configure external source authentication and optimization
- Load data into lakehouse as files or as Delta tables
Prerequisites
- Experience with Apache Spark and Python
- Basic understanding of extracting, transforming, and loading data
Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.
Learning objectives
In this module, you’ll learn how to:
- Describe pipeline capabilities in Microsoft Fabric
- Use the Copy Data activity in a pipeline
- Create pipelines based on predefined templates
- Run and monitor pipelines
Prerequisites
Before starting this module, you should be familiar with Microsoft Fabric and data orchestration.
Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.
Learning objectives
In this module, you’ll learn how to:
- Describe core features and capabilities of lakehouses in Microsoft Fabric
- Create a lakehouse
- Ingest data into files and tables in a lakehouse
- Query lakehouse tables with SQL
Prerequisites
Before starting this module, you should be familiar with fundamental data analytics concepts.
Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.
Learning objectives
In this module, you’ll learn how to:
- Describe the principles of using the medallion architecture in data management.
- Apply the medallion architecture framework within the Microsoft Fabric environment.
- Analyze data stored in the lakehouse using DirectLake in Power BI.
- Describe best practices for ensuring the security and governance of data stored in the medallion architecture.
Prerequisites
Before starting this module, you should be familiar with Microsoft Fabric lakehouses, Apache Spark, and SparkSQL.
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.
Learning objectives
In this module, you’ll learn how to:
- Configure Spark in a Microsoft Fabric workspace
- Identify suitable scenarios for Spark notebooks and Spark jobs
- Use Spark dataframes to analyze and transform data
- Use Spark SQL to query data in tables and views
- Visualize data in a Spark notebook
Prerequisites
Before starting this module, you should be familiar with the Microsoft Fabric interface and core concepts.
Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.
Learning objectives
In this module, you’ll learn how to:
- Understand Delta Lake and delta tables in Microsoft Fabric
- Create and manage delta tables using Spark
- Use Spark to query and transform data in delta tables
- Use delta tables with Spark structured streaming
Prerequisites
Before starting this module, you should be familiar with Microsoft Fabric lakehouses and Apache Spark.
Data warehouses are analytical stores built on a relational schema to support SQL queries. Microsoft Fabric enables you to create a relational data warehouse in your workspace and integrate it easily with other elements of your end-to-end analytics solution.
Learning objectives
In this module, you’ll learn how to:
- Describe data warehouses in Fabric
- Understand a data warehouse vs a data Lakehouse
- Work with data warehouses in Fabric
- Create and manage datasets within a data warehouse
Prerequisites
Before starting this module, you should be familiar with the Microsoft Fabric interface and core concepts.
Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.
Learning objectives
In this module, you’ll:
- Learn different strategies to load data into a data warehouse in Microsoft Fabric.
- Learn how to build a data pipeline to load a warehouse in Microsoft Fabric.
- Learn how to load data in a warehouse using T-SQL.
- Learn how to load and transform data with dataflow (Gen 2).
Prerequisites
Before starting this module, you should be familiar with the basic principles of a data warehouse.
Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.
Learning objectives
In this module, you’ll:
- Use SQL query editor to query a data warehouse.
- Explore how visual query editor works.
- Learn how to connect and query a data warehouse using SQL Server Management Studio.
Prerequisites
Before starting this module, you should be familiar with the basic principles of data warehousing.
A data warehouse is a vital component of an enterprise analytics solution. It’s important to learn how to monitor a data warehouse so you can better understand the activity that occurs in it.
Learning objectives
After completing this module, you’ll be able to:
- Monitor capacity unit usage with the Microsoft Fabric Capacity Metrics app.
- Monitor current activity in the data warehouse with dynamic management views.
- Monitor querying trends with query insights views.
Prerequisites
Before starting this module, you should be familiar with Microsoft Fabric and Transact-SQL.
Scalable data models enable enterprise-scale analytics in Power BI. Implement data modeling best practices, use large dataset storage format, and practice building a star schema to design analytics solutions that can scale.
Learning objectives
By the end of this module, you’ll be able to:
- Describe the importance of building scalable data models
- Implement Power BI data modeling best practices
- Use the Power BI large dataset storage format
Prerequisites
Consider completing the Model data in Power BI learning path. You will need knowledge of:
- Power BI data model design including star schema design basics
Power BI model relationships form the basis of a tabular model. Define Power BI model relationships, set up relationships, recognize DAX relationship functions, and describe relationship evaluation.
Learning objectives
By the end of this module, you’ll be able to:
- Understand how model relationship work.
- Set up relationships.
- Use DAX relationship functions.
- Understand relationship evaluation.
Prerequisites
- Experience developing Power BI data models by using Power BI Desktop.
Use tools to develop, manage, and optimize Power BI data model and DAX query performance.
Learning objectives
After completing this module, you’ll be able to:
- Optimize queries using performance analyzer.
- Troubleshoot DAX performance using DAX Studio.
- Optimize a data model using Tabular Editor.
Prerequisites
- Experience designing and building Power BI data models.
Enforce model security in Power BI using row-level security and object-level security.
Learning objectives
By the end of this module, you’ll be able to:
- Restrict access to Power BI model data with RLS.
- Restrict access to Power BI model objects with OLS.
- Apply good development practices to enforce Power BI model security.
Prerequisites
- Experience developing Power BI data models by using Power BI Desktop.
Request More Information
Training Options
- VILT: Virtual Instructor-Led Training
- ILT: Instructor-Led Training
Exam & Certification
Microsoft Certified: Fabric Analytics Engineer Associate.
As a candidate for this certification, you should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
Training & Certification Guide
This exam measures your ability to accomplish the following technical tasks: plan, implement, and manage a solution for data analytics; prepare and serve data; implement and manage semantic models; and explore and analyze data.
Skills measured:
- Plan, implement, and manage a solution for data analytics
- Prepare and serve data
- Implement and manage semantic models
- Explore and analyze data
Frequently Asked Questions
To stay up to date, IT pros are constantly learning and adding skills. The IDC study concluded that Microsoft Learning Partners such as Trainocate Malaysia which was recently awarded 2023 Microsoft Learning Partner of the Year are well positioned to help organizations achieve their business and learning goals. The IT leaders who were surveyed found the most value from a Learning Partner that provides:
- An end-to-end solution which starts with identifying skill gaps, simplifies the learning experience, and finishes by evaluating how well the Learning Partner met the organization goals.
- Scale, flexibility, and speed to train teams of any size, in any location, amid changing circumstances.
- Value-added services, such as hands-on labs, classroom training, and custom content that help the skills development program succeed.
- High-quality content and delivery, meaning accurate, relevant courseware, top-notch instructors, and a path to certification, if needed.
Are you ready to elevate your career in the tech industry and wondering if Microsoft Certifications are worth it? The answer is a resounding YES! Here’s why investing in Microsoft Certifications are the key to unlocking your full potential and setting yourself up for success:
- Boost Your Employment Prospects: Microsoft Certifications are widely recognized and respected in the industry, making you a more attractive candidate to potential employers. According to the Global Knowledge 2020 IT Skills and Salary Report, certified professionals have a higher chance of securing job opportunities compared to their non-certified counterparts.
- Increased Earning Potential: The same report reveals that IT professionals with certifications earn on average 12% more than those without. Microsoft Certifications not only improve your employability but also enhance your salary potential.
- Stay Ahead of the Curve: Microsoft continually updates its certifications to reflect the latest industry trends, ensuring you remain current and adaptable in the rapidly evolving tech landscape. By pursuing a Microsoft Certification, you showcase your dedication to professional development and staying ahead of the game.
- Comprehensive Skill Development: With a wide range of certifications available, from cloud computing and cybersecurity to data management and software development, you can specialize in your area of interest and become an expert in your chosen domain.
- Expand Your Professional Network: Join a vibrant community of certified professionals who participate in online forums, attend conferences, and engage in networking opportunities. Forge valuable connections that can lead to job opportunities, referrals, and access to exclusive resources.
Investing in a Microsoft Certification is investing in yourself and your future. Don’t miss out on the opportunity to enhance your career prospects, increase your earning potential, and be part of a thriving professional community. Take the first step toward a successful tech career by exploring Microsoft Certifications today!
