Mehrdad Abdollahi
Microsoft Learn Expert | Principal Data Architect | MS Fabric Cafe Community Lead
Vancouver, Canada
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Microsoft Learn Expert | Principal Data Architect | MS Fabric Cafe Community Lead
Microsoft Learn Expert with over 15 years of expertise in programming and data platforms. Experienced in roles such as Technical Head, Data Engineer, Data Architect, and Azure Developer. Skilled in BI engineering, integration, and quality leadership. Concentrating on Microsoft Fabric and Azure Data Services. Passionate about AI and committed to delivering innovative solutions. Additionally, I lead the community of Microsoft Fabric Cafe at Microsoft Learn community learning rooms.
Area of Expertise
Topics
Streamlining Data Engineering Processes with Microsoft Fabric
In today's data-driven world, efficient data engineering is critical to unlocking the full potential of your data assets. Microsoft Fabric offers a comprehensive platform to streamline and optimize your data engineering processes. This session will provide an overview of data engineering in Microsoft Fabric, highlighting the platform's key features and capabilities that make it an ideal choice for modern data engineering tasks.
Join us to explore:
Introduction to Microsoft Fabric: An overview of Microsoft Fabric and its core components relevant to data engineering.
Building and Managing Lakehouses: Learn how to create and manage lakehouses to efficiently store and organize large volumes of data.
Notebooks and Spark Jobs: Discover how to use notebooks for interactive data analysis and execute Spark jobs for large-scale data processing.
Designing Pipelines and Dataflows: Understand how to design, implement, and manage pipelines and dataflows to automate and streamline your data workflows.
Optimizing Data Workflows: Techniques to optimize your data workflows for improved performance and efficiency.
API Integration with GraphQL: Explore the integration of APIs using GraphQL to enable flexible and efficient data queries.
Best Practices and Strategies: Gain insights into best practices and strategies to maximize the potential of Microsoft Fabric in your data engineering projects.
Whether you are a data engineer, architect, or IT professional, this session will equip you with the knowledge and tools to enhance your data engineering capabilities using Microsoft Fabric. Don’t miss this opportunity to learn how to streamline your data processes and drive better business outcomes.
I believe this session will provide valuable insights and practical knowledge to the attendees, helping them to leverage Microsoft Fabric for their data engineering needs.
Master the Applied Skill: Implement a Lakehouse in Microsoft Fabric!
🌟 Master the Applied Skill: Implement a Lakehouse in Microsoft Fabric! 🌟
The "Implement a Lakehouse in Microsoft Fabric" Applied Skill has been helping learners level up their data expertise. With this credential, you’ll demonstrate your ability to:
✅ Create and manage a lakehouse in Microsoft Fabric
✅ Ingest and transform data efficiently
✅ Query and explore lakehouse data using SQL or PySpark
If you’re familiar with data modeling, transformation, and exploratory analytics, this skill is for you!
Harnessing Real-Time Intelligence with Microsoft Fabric: A Deep Dive into Advanced Analytics
This session will cover:
Introduction: Importance of real-time intelligence.
Microsoft Fabric Real-Time Intelligence: Key features and benefits.
KQL Database and Tables: Managing and querying data.
Microsoft Fabric Real-Time Hub: Integrating and processing data streams.
Writing Queries with KQL: Practical examples and best practices.
Ideal for data scientists, analysts, and IT professionals aiming to enhance real-time data analytics skills.
Azure Integration Services
I will talk about the data integrations and the available services in Microsoft Azure landscape. My focus will be on Azure Logic Apps. However, I will touch base on other available services such as Azure Functions, API management and Azure Data Factory. The session will be kicked of with Fundamentals of data integrations.
In addition, I will introduce data ingestion as well and compare both with ETL. This may fall at the first steps of the session.
[DP-900] Azure Data Fundamental Bootcamp series
- Exam DP-900 bootcamp > S01: Core Data Concepts, Data Roles and Azure Data services
- Exam DP-900 bootcamp > S02: Relational Data Concepts
- Exam DP-900 bootcamp > S03: Relational and Non-Relational Data Services in Azure
- Exam DP-900 bootcamp > S04: Large-Scale Analytics, PaaS Solutions, and Real-Time Analytics
- Exam DP-900 bootcamp > S05: Microsoft Fabric, Data Visualization, and Exam Preparation
Azure Data Fundamentals
walk the audiences through the Azure Data Fundamentals including the Azure Data Services, Azure Data roles that can be approached after having an understanding of Azure Data platforms. I will introduce the DP-900 exam and way forward for studying and exam preparation.
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