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Ben Weissman

With more and more data in existence, the field of analytics is becoming more and more challenging. Microsoft Fabric provides an end-to-end solution for all your analytics needs - from storing your data to reporting and governance.

The field of analytics has come up with countless innovations in concepts and tools to conquer the ever-growing data estates over the past years. This also increased the complexity of working with data.

In this course, Microsoft Fabric: First Look, we will explore Microsoft’s one-stop-shop solution in Azure to satisfy all the needs that come with that complexity.

Read more

With more and more data in existence, the field of analytics is becoming more and more challenging. Microsoft Fabric provides an end-to-end solution for all your analytics needs - from storing your data to reporting and governance.

The field of analytics has come up with countless innovations in concepts and tools to conquer the ever-growing data estates over the past years. This also increased the complexity of working with data.

In this course, Microsoft Fabric: First Look, we will explore Microsoft’s one-stop-shop solution in Azure to satisfy all the needs that come with that complexity.

First, you’ll explore what Microsoft Fabric is, which problems it will solve, and also which topics it may not address for you.

Next, you’ll discover the pricing and billing model to understand the cost implications that come with a Fabric implementation.

Finally, you’ll learn how to find your way around the Fabric UI to get started on making your first steps in Fabric.

When you’re finished with this course, you’ll have the knowledge of what Microsoft Fabric is, which problems it can solve, and how you can get started using it.

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Microsoft Fabric Data Analytics Data Warehousing Azure Cloud Computing Big Data

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for learners seeking an introduction to Microsoft Fabric and its potential solutions to data analytics challenges
Taught by Ben Weissman, a recognized expert in the field of analytics
Covers fundamentals of Microsoft Fabric, including its purpose, capabilities, and limitations
Provides insights into pricing and billing models associated with Fabric implementation
Offers practical guidance on navigating the Fabric UI for beginners
Course may require learners to have prior knowledge of data analytics concepts and practices

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Reviews summary

Foundational overview of microsoft fabric

According to learners, this course provides an excellent introduction to Microsoft Fabric, effectively serving as a foundational 'first look' into Microsoft's unified analytics platform. Students consistently praise the instructor's clarity and concise explanations, making complex concepts accessible. The course is highlighted for its ability to define Fabric's core components, its scope, and what problems it solves. Many found the included discussion on pricing and billing models particularly valuable, and the UI tour helpful for initial navigation. While it thoroughly covers the conceptual groundwork, some learners noted it's a high-level overview and desired more hands-on demonstrations or deeper technical dives, consistent with its 'first look' positioning. It's ideal for those seeking a quick grasp of Fabric's capabilities.
Provides a helpful tour of the Microsoft Fabric user interface.
"I found the UI tour helpful."
"It helps demystify Fabric and its various workloads. I found the UI tour helpful."
"The tour of the interface clarified how to navigate Fabric's environment and get started."
Offers crucial understanding of Fabric's cost implications.
"I particularly appreciated the discussion on pricing models, which is often overlooked."
"The segment on pricing was very valuable."
"The course covered the scope, components, and even the economics of Fabric, which is crucial."
Instructor explains complex topics clearly and concisely.
"The instructor was very articulate and easy to follow."
"The instructor's explanations were concise and to the point."
"The clarity of the instructor is exceptional. Well-structured and easy to digest."
"The instructor did a good job explaining complex ideas simply."
Provides an excellent, concise introduction to Fabric.
"Excellent introduction to Microsoft Fabric! The course clearly explained what Fabric is, its core components..."
"Fantastic course for understanding the big picture of Microsoft Fabric. It truly delivers on its promise of a 'first look'..."
"This course is spot-on for what it advertises – a 'first look'. It sets realistic expectations and provides a comprehensive overview of Fabric's capabilities..."
Serves as a high-level introduction, not an implementation guide.
"While it's a 'first look', I would have loved to see a tiny bit more practical demo beyond just showing the interface..."
"It was literally just a 'first look' and left me wanting much more. Not enough to feel confident to use it."
"Don't expect deep dives into implementation."
"Too high level. I expected more practical examples or a deeper dive into one of the workloads."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Fabric: First Look with these activities:
Review Data Modeling Concepts
Review the basics of data modeling to ensure a strong foundation for understanding Microsoft Fabric's data storage capabilities.
Browse courses on Data Modeling
Show steps
  • Revise your notes or study materials on data modeling concepts.
  • Complete practice exercises or quizzes on data modeling.
  • Participate in online discussions or forums on data modeling.
Microsoft Fabric Hands-On Workshop
Gain practical experience and in-depth knowledge by attending a hands-on workshop dedicated to Microsoft Fabric.
Browse courses on Microsoft Fabric
Show steps
  • Identify and register for a Microsoft Fabric hands-on workshop.
  • Attend the workshop and actively participate in hands-on exercises.
  • Complete follow-up activities to reinforce your learnings.
Explore Microsoft Fabric Documentation
Familiarize yourself with Microsoft Fabric's documentation to gain a comprehensive understanding of its features and capabilities.
Show steps
  • Visit the Microsoft Fabric documentation website.
  • Review the getting started guide and tutorials.
  • Explore the reference documentation for specific features and services.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Advanced Data Modeling with Fabric
Enhance your understanding of data modeling techniques by following guided tutorials that explore advanced concepts within the Microsoft Fabric platform.
Browse courses on Data Modeling
Show steps
  • Identify guided tutorials that cover advanced data modeling topics related to Microsoft Fabric.
  • Follow the tutorials step-by-step to build your knowledge and skills in data modeling.
  • Practice implementing the techniques in your own data modeling projects.
Summarize Microsoft Fabric Concepts
Create a summary of Microsoft Fabric's key concepts to reinforce your understanding and identify areas for further exploration.
Show steps
  • Review the course materials and Microsoft Fabric documentation.
  • Identify the main concepts and features of Microsoft Fabric.
  • Write a summary that includes definitions, explanations, and examples.
Practice Using Microsoft Fabric UI
Gain hands-on experience with Microsoft Fabric's user interface to familiarize yourself with its functionality and navigation.
Show steps
  • Access the Microsoft Fabric UI demo environment.
  • Explore the different sections and features of the UI.
  • Perform basic tasks such as creating, editing, and deleting data.
Discuss Microsoft Fabric Implementation Strategies
Engage with peers to share knowledge and experiences on implementing Microsoft Fabric solutions, discussing best practices and potential challenges.
Show steps
  • Join online forums or discussion groups related to Microsoft Fabric.
  • Participate in discussions on implementation strategies and case studies.
  • Share your own experiences and insights with other participants.
Data Analytics Case Competition
Showcase your data analytics skills by participating in a case competition and gain valuable experience and recognition for your talents.
Show steps
  • Identify a data analytics case competition relevant to your interests and skill level.
  • Form a team or work individually to develop a solution for the case.
  • Submit your solution and prepare for the competition presentation.
Contribute to Microsoft Fabric's Open Source Community
Engage with the open source community around Microsoft Fabric to expand your knowledge, contribute to the project, and gain exposure to real-world implementation scenarios.
Show steps
  • Explore the Microsoft Fabric GitHub repository.
  • Identify areas where you can contribute, such as bug fixes or feature enhancements.
  • Submit your contributions and engage with the community.
Participate in Microsoft Fabric Hackathons
Engage in hands-on challenges and compete with other participants to showcase your skills in implementing Microsoft Fabric solutions.
Show steps
  • Register for Microsoft Fabric hackathon events.
  • Form a team or participate individually.
  • Develop and implement innovative solutions using Microsoft Fabric.
Develop a Microsoft Fabric Implementation Plan
Create a comprehensive plan for implementing Microsoft Fabric in a real-world scenario, considering factors such as data governance, security, and scalability.
Show steps
  • Define the business requirements and goals for Microsoft Fabric implementation.
  • Design the architecture and infrastructure for Microsoft Fabric.
  • Develop a data governance and security strategy.

Career center

Learners who complete Microsoft Fabric: First Look will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to help businesses make better decisions. Microsoft Fabric provides Data Analysts with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Data Analysts learn how to use these tools and get started on making their first steps in Fabric.
Data Scientist
Data Scientists use statistical and machine learning techniques to solve business problems. They use data to build models that can predict future outcomes or identify patterns in data. Microsoft Fabric provides Data Scientists with a powerful set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Data Scientists learn how to use these tools and get started on making their first steps in Fabric.
Data Engineer
Data Engineers are responsible for designing and building the systems that store and process data. They work with Data Analysts and Data Scientists to ensure that the data is available and reliable. Microsoft Fabric provides Data Engineers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Data Engineers learn how to use these tools and get started on making their first steps in Fabric.
Analytics Engineer
Analytics Engineers work with Data Analysts and Data Scientists to implement the solutions that they develop. They are responsible for building and maintaining the infrastructure that is needed to run analytics applications. Microsoft Fabric provides Analytics Engineers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Analytics Engineers learn how to use these tools and get started on making their first steps in Fabric.
Reporting Analyst
Reporting Analysts are responsible for creating reports that summarize data and communicate insights to business stakeholders. They use data visualization tools to create reports that are easy to understand and interpret. Microsoft Fabric provides Reporting Analysts with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Reporting Analysts learn how to use these tools and get started on making their first steps in Fabric.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They identify trends and patterns in data and use this information to develop recommendations for businesses. Microsoft Fabric provides Business Intelligence Analysts with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Business Intelligence Analysts learn how to use these tools and get started on making their first steps in Fabric.
Data Architect
Data Architects design and manage the data assets of an organization. They work with Data Analysts and Data Scientists to ensure that the data is available and reliable. Microsoft Fabric provides Data Architects with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Data Architects learn how to use these tools and get started on making their first steps in Fabric.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with Data Analysts and Data Scientists to ensure that the data is available and reliable. Microsoft Fabric provides Database Administrators with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Database Administrators learn how to use these tools and get started on making their first steps in Fabric.
Software Engineer
Software Engineers design and develop software applications. They work with Data Analysts and Data Scientists to implement the solutions that they develop. Microsoft Fabric provides Software Engineers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Software Engineers learn how to use these tools and get started on making their first steps in Fabric.
Information Technology (IT) Manager
IT Managers are responsible for managing the IT infrastructure of an organization. They work with Data Analysts and Data Scientists to ensure that the data is available and reliable. Microsoft Fabric provides IT Managers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help IT Managers learn how to use these tools and get started on making their first steps in Fabric.
Data Governance Officer
Data Governance Officers are responsible for ensuring that the data of an organization is used in a compliant and ethical manner. They work with Data Analysts and Data Scientists to develop and implement data governance policies. Microsoft Fabric provides Data Governance Officers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Data Governance Officers learn how to use these tools and get started on making their first steps in Fabric.
Project Manager
Project Managers plan and manage projects. They work with Data Analysts and Data Scientists to ensure that projects are completed on time and within budget. Microsoft Fabric provides Project Managers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Project Managers learn how to use these tools and get started on making their first steps in Fabric.
Business Analyst
Business Analysts work with Data Analysts and Data Scientists to understand the business needs of an organization. They use this information to develop solutions that meet the needs of the business. Microsoft Fabric provides Business Analysts with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Business Analysts learn how to use these tools and get started on making their first steps in Fabric.
Consultant
Consultants provide advice and guidance to organizations on how to improve their operations. They work with Data Analysts and Data Scientists to help organizations make better use of their data. Microsoft Fabric provides Consultants with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Consultants learn how to use these tools and get started on making their first steps in Fabric.
Data Warehouse Manager
Data Warehouse Managers are responsible for managing and maintaining data warehouses. They work with Data Analysts and Data Scientists to ensure that the data in the data warehouse is accurate and reliable. Microsoft Fabric provides Data Warehouse Managers with a comprehensive set of tools to help them do their jobs more efficiently. The course, Microsoft Fabric: First Look, can help Data Warehouse Managers learn how to use these tools and get started on making their first steps in Fabric.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Microsoft Fabric: First Look.
Provides a comprehensive overview of data analytics, including data storage, reporting, and governance. It serves as a good introductory text or reference material.
Focuses on the strategic and organizational aspects of big data analytics, providing insights into the challenges and opportunities of implementing data analytics solutions.
Provides a comprehensive overview of cloud computing concepts, technologies, and applications. It serves as a valuable reference for understanding the fundamentals of cloud computing.
Provides a practical guide to using Tableau, a leading data visualization tool. It covers data preparation, visualization techniques, and best practices.
Provides a comprehensive introduction to data analysis using Python, covering data manipulation, visualization, and statistical modeling.
Provides a comprehensive introduction to advanced analytics with Apache Spark, including topics such as machine learning, graph processing, and streaming analytics.
Provides a practical guide to big data and analytics, covering data collection, storage, and processing. It also offers case studies and best practices for organizations.
Provides a gentle introduction to machine learning using Python, covering basic concepts and algorithms. It is suitable for beginners with no prior knowledge of machine learning.
Provides a comprehensive guide to big data analytics using Java, covering data storage, processing, and analysis. It offers practical examples and case studies.

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