Hello (Hola), this is Pablo Junco Boquer. Welcome to Edition #8 of The Data Massagist.

Before we begin, thank you to the nearly 3,000 subscribers and more than 10,000 readers who have engaged with previous editions. If you’re not subscribed yet—no worries—this is a great moment to join us.

Today’s edition focuses on two topics:

1. The launch of my new website

2. A recap of FabCon / SQLCon 2025 at Atlanta

Let’s get started.

1.- Launch of a New Website

I’m excited to officially share the launch of: https://thedatamassagist.com/

The purpose of this website is simple: make it easier to discover, navigate, and consume insights from the 100+ articles I’ve published across LinkedIn, Forbes.com, and other platforms.

Until now, this content has been scattered. The website brings everything together into a clean, blog-style experience, organized by categories so that executives, architects, and data professionals can quickly find what matters most to them.

Key design principles:

• Curated navigation by categories (platform, media source, ...)

• AI-generated summaries using Microsoft 365 Copilot to quickly capture key ideas from my articles.

• Direct access to original sources, preserving full context

⚠️ Important: the website is still under construction (i.e. mobile-friendly design coming soon). Think of this as an early version. I would truly value your feedback—on usability, structure, and topics you’d like to see next.

1.1.- A Personal Note

This project is also special for another reason: I’m building it together with my 11-year-old son as part of his coding journey.

What started as “let’s build a website” has turned into a hands-on experience where he’s learning: Microsoft Azure, ASP.NET MVC, Azure SQL Database, GitHub, Azure OpenAI Services, ... but not Microsoft Fabric yet :)

Beyond the technology, it’s been about learning problem-solving, architecture, iteration, and patience. Watching him debug, commit code, and ask why things work the way they do has been one of the most rewarding parts of this journey.

2.- FabCon / SQLCon Atlanta — Why This Event Mattered

FabCon and SQLCon 2026 coming together in Atlanta was more than a logistical decision—it was a strategic signal. From my perspective, the message was clear: Databases, analytics, and AI are no longer separate conversations.

This event marked a shift toward simplification, convergence, and real-world AI enablement—beyond demos and slideware.

Here are the four key themes that stood out:

2.1.- Microsoft Fabric: The Data & AI Control Plane

Microsoft Fabric continues evolving from an analytics platform into a true control plane for enterprise data and AI.

Key signals:

• Becoming the front door to data across lakehouses, warehouses, and real-time systems

• Reducing architectural complexity (“less plumbing, more value”)

• Accelerating toward AI-native experiences (semantics, planning, agents)

Why it matters: Fabric is no longer just about consolidation—it’s about establishing a unified foundation where governance, analytics, and AI start together.

Microsoft Fabric Highlights:

• Fabric as a Unified Intelligence Layer: Combines databases, data engineering, real-time intelligence, BI, governance, and AI into a single, integrated platform.

• OneLake as the Enterprise Data Backbone: Central logical data layer with enhanced shortcuts, mirroring, and zero-copy access across Azure, AWS, GCP, Oracle, SAP, Snowflake, and Databricks—reducing data movement and duplication.

• Real-Time and Mirrored Data by Default: Expanded mirroring (including Oracle and SAP) shifts platforms from batch pipelines to continuous, near-real-time data.

• Fabric IQ and Data Agents: Semantic intelligence provides business context for AI agents, while Data Agents enable domain-specific, governed AI interactions directly on enterprise data.

• Convergence of Operational and Analytical Workloads: Centralized experiences like Database Hub bring transactional and analytical data closer together, simplifying hybrid workloads.

Planning in Fabric IQ was for sure one of my favorite announcements. It enables business and finance teams to plan quickly and accurately using the same trusted data, semantic models, and ontologies that drive insights, operations, and AI, while eliminating the fragmented data and redundant ETL, integration, and reconciliation required by legacy planning tools—delivering a fully integrated, closed-loop platform for a single source of truth. You can learn more by reading my article Planning in Fabric IQ, why it matters now

References:

• Arun Ulag: Unifying databases and Fabric on a single data platform on Microsoft Azure Blog

• Fabric March 2026 Feature Summary | Microsoft Fabric Blog on Microsoft Fabric blog

• Shireen Bahadur : Extended Capabilities in Mirroring in Microsoft Fabric: Optional Enhancements to Core Mirroring

• Dipti Borkar: Introducing Planning in Microsoft Fabric IQ - From historical data to forecasting the future

• Bogdan Crivat : From Lakehouse to boardroom - Analytics and AI for real insights

• Shireesh Thota: Advancing Databases for the Next Generation of Applications

• Yitzhak Kesselman: Trusted AI starts with Microsoft Fabric: Unified real-time intelligence and IQ context

• Kim Manis and Mohammad Ali: Semantic Layers: The foundation of enterprise AI | Microsoft Power BI Blog | Microsoft Power BI

• Josh Caplan What’s new in Microsoft OneLake

• Tino Tereshko 🇺🇦 Upgrade your Synapse pipelines to Microsoft Fabric with confidence (Preview)

• Connie Xu : Modernizing pipelines - New activities and innovations in Fabric Data Factory pipelines

• Faisal Mohamood; Built for modern data integration

• Ye Yu: Audit columns in Copy job in Fabric Data Factory—every row is traceable for data lineage and compliance

• Virginia R. : Unlock insights from images and PDFs with multimodal support in Fabric AI functions (Preview)

2.2- Azure Databricks: Open and Enterprise-Ready

Since 2017, Azure Databricks has been a first-party Azure service, seamlessly integrated with Microsoft offerings such as Power BI, Excel, Microsoft Teams, Data Factory, Azure OpenAI, Microsoft Foundry, Copilot Studio, and the Power Platform. You can learn more about reading my article Why Azure Databricks Is a Top Priority for Microsoft

Azure Databricks showed strong momentum also in FabCon 2026, not as a competing narrative—but as a complementary powerhouse.

Azure Databricks Highlights:

• Lakeflow Connect Free Tier: Ingest up to 100M records/day from top databases and SaaS apps into the lakehouse for free, with full governance and orchestration.

• Lakebase (GA): Managed, serverless Postgres for operational workloads and AI agents—scalable, high-availability database directly in your lakehouse.

• Microsoft 365 & Fabric Integration: Excel Add-in and Teams/Genie integrations bring governed data and AI insights where decisions happen.

• Platform Interoperability: Unity Catalog queries now run directly against Microsoft Fabric OneLake storage, enabling seamless workflows across Azure services, Fabric, Power BI, Teams, and Excel.

• Genie AI Enhancements: Multi-step reasoning, agentic workflows, and AI-assisted development (Genie Code) turn data into actionable insights for teams and agents.

• Unified Platform Strengths: Governance, deep Microsoft integration, lakehouse-native analytics, and cost-efficient AI development.

Why it matters: For complex, large-scale AI and data workloads, Databricks remains a critical execution engine—especially where openness and performance are essential.

This is not Fabric vs. Databricks. It’s the right tool for the right workload and how to leverage Microsoft ecosystem for AI.

As you know, I being writing about this topic in previous edition of the newsletter, as well in my article in LinkedIn. You can find them by testing my new website: The Data Massagist by Pablo Junco - Articles

References:

• What’s New in Azure Databricks at FabCon 2026: Lakebase, Lakeflow, and Genie on the Databricks Blog

• Enable OneLake catalog federation - Azure Databricks on Microsoft Learn

2.3.- Microsoft Purview: Governance as a Foundation

Governance took center stage this year—but with a different tone. Something than didn't change was the fact that if users cannot trust in their data, they will not trust in AI neither.

Microsoft Purview is evolving from a cataloging tool into an active governance and security layer for the AI era, tightly integrated with Microsoft Fabric and Copilot experiences.

• Purview Unified Catalog powers end-to-end governance across Microsoft Fabric.

• OneLake-native controls simplify DLP, sensitivity labeling, and consistent policies—no separate governance per engine.

• AI & Copilot-ready: Purview DSPM helps manage sensitive data and reduce AI workflow risks

• Trusted analytics: Data quality + native Fabric governance ensures AI reliability.

• Governance as a business enabler, accelerating discovery, ownership, and secure self-service

FabCon 2026 positioned Microsoft Purview as the governance backbone of Fabric and AI. Not just for compliance—but to enable safe, scalable, and trusted AI at enterprise speed.

You can learn more here: What's new in Microsoft Purview on Microsoft Learn

2.4.- Microsoft SQL Family: Modern and AI-Ready

One of the biggest myths in data is that SQL is “legacy.” SQLCon made it clear: that narrative is outdated.

• Unified Database Hub in Microsoft Fabric brings Azure SQL, Cosmos DB, PostgreSQL, and Fabric Databases together.

• SQL + Fabric's OneLake Integration enables analytics and AI directly over operational data.

• AI & Migration Innovations — Azure Arc-enabled, AI-assisted migrations; Fabric-native SQL; Copilot in SSMS & VS Code.

• Hyperscale Expansion — Azure SQL Hyperscale now supports 160 & 192 vCores for high-throughput workloads.

• Savings Plan — 1-year, spend-based pricing can deliver up to 35% savings across eligible Azure database services.

My takeaway is that SQL is alive, thriving, and at the heart of Fabric’s analytics + AI ecosystem.

Most organizations still run their core business on SQL. The strategy is not to replace it—but to evolve it into the AI era.

References:

• Announcing savings plan for databases: flexible savings for modern, evolving workloads

• Announcing Preview of 160 and 192vCore Premium-series Options for Azure SQL Database Hyperscale | Microsoft Community Hub

• GitHub Copilot in SQL Server Management Studio

• Database DevOps (preview) in SSMS 22.4.1

3.-Final Thoughts

FabCon / SQLCon Atlanta reinforced a powerful idea:

The future of data is not about more tools. It’s about fewer, better-connected platforms with intelligence built in

Between the launch of The Data Massagist website and the direction coming out of Atlanta, one thing is clear:

• Architecture is becoming less visible

• Outcomes are becoming the priority

• Context, governance, and intelligence are now first-class citizens

As always, thank you for reading. And I’d truly appreciate your feedback—both on the new website and on the ideas shaping the next wave of data and AI.