Modernizing and scaling analytics at Majid Al Futtaim
Explore dbt resources curated for Majid Al Futtaim data teams to support analytics modernization and scalable use of dbt across the organization.
Agenda/ Page layout
This page is structured to help you quickly navigate the areas that matter most. Below is a summary of each section, allowing you to explore specific capabilities, use cases, and outcomes in more detail as you scroll.
Building strong dbt foundations at Majid Al Futtaim
Explore guides, tools, and best practices designed to help Majid Al Futtaim teams get the most out of dbt. These resources support secure, governed, and collaborative workflows, enabling teams to deliver faster, more reliable insights.
Introduction to dbt
Not familiar with dbt? Start here. dbt helps teams transform, test, and document data in the warehouse, making it easier to collaborate, maintain data quality, and deliver reliable insights—faster
Learn dbt with hands-on training
Explore dbt’s technical learning resources to build your skills, from beginner tutorials to advanced analytics engineering best practices. Access guided courses, hands-on exercises, and practical examples to help you transform, test, and document data confidently and efficiently.
dbt Documentation
Dive into the docs to learn how to transform, test, and document data with dbt. Find step-by-step guides, reference materials, and best practices to help you build reliable, high-quality data workflows and get the most out of dbt.
Enhance the power of Databricks with dbt
Empower Majib Al Fattaim teams to build, collaborate, and scale AI-driven data products by connecting dbt with Databricks. Simplify workflows, enhance collaboration, and make data accessible across your organization—all while reducing costs and increasing efficiency.
Use Databricks workflows to run dbt jobs
Using Databricks workflows to call the dbt job API can be useful for several reasons: - Integration with other ETL processes - Utilizes dbt jobs features - Separation of concerns - Custom job triggering
Productionize your dbt Databricks project
Keeping a close eye on your dbt jobs is crucial for maintaining a robust and efficient data pipeline. By monitoring job performance and quickly identifying potential issues, you can ensure that your data transformations run smoothly.
Optimize and troubleshoot dbt models on Databricks Back to guides
Building on the Set up your dbt project with Databricks guide, we'd like to discuss performance optimization.
Enhancing Majid Al Futtaim's analytics developer workflow with dbt tools
As organizations mature their dbt practices, new tools can help standardize development and accelerate delivery across teams. dbt Canvas, VS Code, and dbt Copilot introduce additional ways to build, review, and maintain analytics—without requiring a single prescribed workflow. Explore the resources below to see how these tools can support current or future use cases.
Unlock analyst-driven data transformation with dbt Canvas
Explore how Canvas helps analysts quickly access and transform data through a visual, drag-and-drop experience and with a built-in AI for custom code generation.
Explore dbt Development in VS Code
The dbt VS Code Extension provides an optional development experience for teams interested in working with dbt inside VS Code. See how the extension supports common dbt workflows and where it can add value alongside existing processes.
Accelerate dbt Development with dbt Copilot
dbt Copilot provides AI-assisted support for common dbt development tasks, helping teams move faster while maintaining clarity and consistency.
Explore what’s possible with dbt Fusion
dbt Fusion is the next-generation dbt engine, built in Rust and designed for deeper SQL understanding. This section introduces how Fusion powers dbt Studio IDE, Canvas, and the VS Code extension as Majid Al Futtaim teams evaluate potential future use cases.
Experience the dbt Fusion engine
Sonja Strempel, Analytics Engineer at DPG Media, shares how dbt Fusion is transforming her work, helping her build faster and deliver reliable data to stakeholders.
State-aware orchestration now in Preview for Fusion projects
Fusion lets you validate analytics code locally as you write it—no unnecessary queries—and runs models only when upstream data changes, saving 30%+ on dbt warehouse compute.
Get started with Fusion
Instal the dbt extension — available for VS Code, Cursor, and Windsurf — which uses the dbt Fusion Engine to make dbt development smoother and more efficient.
Meet the dbt account team for Allianz
Jonathan Radley
Enterprise Account Director - dbt Labs
Jonathan is the the dedicated Account Executive for Majib Al Futtaim at dbt Labs, bringing years of experience working with data and analytics teams. He focuses on building strong, collaborative relationships and helping customers get lasting value from dbt.
Anouar Hnini
Solutions Architect - dbt Labs
Anouar is a Solutions Architect at dbt Labs, where he partners with some of dbt’s largest customers to help them successfully adopt and scale dbt across their analytics organizations. He has worked closely with data and analytics teams across Majib Al Futtaim to design practical, scalable solutions aligned to complex enterprise needs.
Dawood Bazaz
Enterprise Solutions - dbt Labs
Dawood brings both a keen customer-centric approach and a deep commitment to solving queries with precision and responsiveness. With his experience at dbt Labs and her collaborative mindset, he’s a dependable partner for Majib Al Fattaim ready to assist with inquiries and ensure that interactions run smoothly and effectively.
Speak with our team today
Building strong dbt foundations at Majid Al Futtaim
Enhance the power of Databricks with dbt
Enhancing Majid Al Futtaim's analytics developer workflow with dbt tools
Arrange a private webinar for Majib Al Fattaim
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