Integration, Analytics, and Governance for MS Fabric

Advance your data strategy with Microsoft Fabric and Azure. Discover how to optimize workspaces, develop effective pipelines, and manage data flows for enhanced security and governance.

7 hours

42 videos

51 exercises

752 xp

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An outline of this training course

This course provides an in-depth exploration of data integration, analytics, and governance, focusing on building and managing data architectures using integration workspaces, data pipelines, and advanced Gen2 data flows. It covers practical aspects of data transformation, execution efficiency, and secure access management within platforms like Microsoft Fabric and Azure. Participants will learn to optimize data processes and enforce governance, ensuring data security and compliance in a hands-on learning environment.

What are 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 during 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

***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

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Curriculum

Course Overview

Comprehensive Data Loading and Analysis

Security and Performance Optimization

Advanced Analytics and Data Science

Advanced Data Management and Governance

Integration, Version Control, and Governance

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Your

Instructor

Henry Habib

Enterprise DNA Expert

Improved processes and facilitated organizational change using both standard and bespoke tools (Power Platform, data analytics, custom built programs, etc.) for over 6 F500 companies spanning financial services, retail, and telecom
Led training and employee-tool empowerment sessions (SharePoint, Power Apps, Power Automate) for several organization, the most recent being a large governmental organization of over 6,000 members, with advisory add-ons
Accomplished Power Platform and Office 365 trainer (specializing in SharePoint, Power Apps, and Power Automate), with over 100 hours of recorded content and over 30,000 paid students on e-learning platforms
Background in Accounting and Finance, with a specialization in Economics

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