Integration, Analytics, and Governance for MS Fabric

An outline of this training course

Explore data integration, analytics, and governance in this course, where you'll learn to build and manage advanced data architectures using tools like Microsoft Fabric and Azure. Master data transformation, enhance execution efficiency, and ensure secure access and compliance through practical, hands-on exercises. This training equips you with the skills to optimize data processes and enforce governance in a dynamic learning environment!

What is needed to take this course 

Participants will need a foundational knowledge of data management and SQL, access to Microsoft Fabric and Azure for practical exercises, a computer with internet access, and a keen interest in learning advanced data integration, analytics, and governance techniques.

Who is this course for

Ideal for data professionals, including data architects, engineers, and analysts, who seek to deepen their expertise in advanced data management, integration, and governance using modern tools like Microsoft Fabric and Azure. It's also well-suited for IT professionals looking to expand their skills in data security and compliance, as well as for anyone interested in mastering the intricacies of building efficient, secure, and compliant data architectures in a corporate environment.

Details of what you will learn in this course

By the end of this course, you will learn:

• How to set up and manage data integration workspaces for decentralized data architecture.
• Developing and executing efficient data pipelines for transforming and managing data flows.
• Utilizing advanced Gen2 data flows for effective data transformation from raw files to performant tables.
• Implementing secure access management practices and governance frameworks to ensure data security and compliance.
• Leveraging Microsoft Fabric and Azure tools for optimizing data processes and ensuring high data reliability and recoverability.

What you get with the course

Gain hands-on experience through practical projects, expert guidance on securing and optimizing data processes, and access to comprehensive materials for in-depth learning.

Program Level

Intermediate

Field(s) of Study

Data Management, Data Analytics, Data Governance, Information Technology, Computer Science

Instruction Delivery Method

QAS Self-study

Credits To

• Henry Habib
• The Intelligent Worker
• Sawyer Nyquist
• Hitesh Govind

***This course was published in March 2024***

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org