We are delighted to announce that Telefónica Tech has been officially recognised as a Microsoft Featured Fabric partner. This recognition highlights our dedication to providing top-tier data management and analytics solutions, leveraging the innovative capabilities of Microsoft Fabric.
Our Experience
With over three decades of collaboration with Microsoft, Telefónica Tech has consistently showcased its expertise in deploying Microsoft solutions across Data & AI, Cloud, Security, Modern Work, and Business Applications. This partnership has enabled us to deliver customised solutions using Microsoft products and services for our clients.
Telefónica Tech was invited to join the private preview of Fabric ahead of the general release in November 2023, giving us the chance to experience the rapid improvements and new feature releases first-hand. Having worked with several customers and delivered multiple use cases within Fabric, we are in a position where we have a great understanding of the solution, including pros and cons. This enables us to confidently advise our customers on what their best options are when they decide to migrate or build a greenfield data platform.
What does being a Featured Fabric Partner mean?
Shaping the future of Fabric
As a Featured Fabric Partner, we have the opportunity to shape the future roadmap of the product. We maintain a direct relationship with the product team, enabling us to provide continuous feedback and support
Private Previews
We receive first access to private previews, allowing us to gain firsthand experience with the latest features. This ensures we can advise our customers on how to make the most of the product.
Our Fabric Specialists
Our Microsoft Fabric Consultancy enables customers to understand and maximise the potential of this AI-ready solution in a way that compliments your current data platform program of work and evolves your platform investment. Our team are committed to continue understand how its capabilities and latest features can be used effectively for your organisation’s unique requirements.
Meet José Mendes
José, Head of Data Engineering at Telefónica Tech, leads our expertise in Microsoft Fabric. Check out his latest articles on different areas of the Microsoft Fabric portfolio:
- Microsoft Fabric Overview
- Microsoft Fabric Adoption Considerations
- Microsoft Ignite: Key Fabric Announcements and Overview of Fabric Databases
Connect with José on LinkedIn.
How can we support
We offer a series of engagements to support organisations at different phases of their data culture journey.
1) Microsoft Fabric: 1-Hour Briefing Call
If you already have an investment in tools such as Azure Synapse Analytics and Azure Databricks, you can still reap the benefits of Microsoft Fabric whilst retaining your existing investment. In this 1-hour briefing call, we will discuss the features and capabilities of Microsoft Fabric, as well as relevant use-cases that can be delivered by the new solution.
Our Approach
- Overview of Microsoft Fabric platform and its capabilities
- Showcase of value-led use-cases that can be delivered through Fabric
- Discussion of your organisation’s strategy and how Fabric can fit into this roadmap
- Microsoft Fabric: 5-Day Proof of Concept
2) Microsoft Fabric: 5-Day Proof of Concept
In this 5-Day Proof of Concept (PoC), our Solution Architects will enable you to quickly understand the features and capabilities of Microsoft Fabric, as well as relevant use-cases that can be delivered by the new solution. We can deliver a 5-day PoC for either a data engineering or data science use case, depending on your organisation’s requirements.
Our Approach
- Overview of Microsoft Fabric and organisation strategy: Exploring the architecture options available, defining the PoC objectives and potential use-cases, the non-functionals and a review of current data strategy and governance.
- For a data engineering use-case we will review data modelling & mapping, data analysis/profiling, data storytelling and wireframing. For a data science use-case we will assess AI and Machine Learning (ML) model options.
- Complete data extraction, ingestion/cleansing patterns and transformation.
- Deliver semantic layer or ML model.
- Build reports/dashboards, EDA (Data Insights/Value), or ML model, and review use-case output.
Microsoft Fabric News
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