Business intelligence is more than fancy reports. It starts with data scattered across many operational systems. Thus, enterprise reporting requires integrating data from those separated data sources to provide information about the organization.

But with ever-increasing data volume, we also experience ever-increasing data shape. While integrating a few hundred source entities was sufficient in many past projects, many projects today have to tackle thousands of source entities, often based on semi-structured JSON or XML data. Or, there is a lack of those who can integrate data: the number of data scientists is growing linearly at best while data shape and volume grow exponentially.

We genuinely believe humans cannot process all the data their peers and machines created. We must tackle as much data processing as possible using scalable artificial intelligence.

Flow.BI is artificial intelligence that automatically integrates independent data sets into an integrated enterprise data model that can be used to define the enterprise data platform or data products in a data mesh.

***

DBA Fundamentals Group

DBA Fundamentals

Sam Nasr

Mike Werts

Federico

Michael

George Sikorjak

Tommy

Steve Hanson

Jason Markantes

Don Davis

Chet Musialowski

Vlast

Curtis Gregson

Robert Barrios

Runar

Dinesh Jonnadula

Matt Fiore

Cal Jones

Adrian Nastase (sql-troubles)

AI-Driven Integration of Enterprise Data - Michael Olschimke

Online event

Detailed information and registration can be found here :
https://dataminds.be/unity-catalog-microsoft-purview-and-from-files-to-apis-databricks/

### Unity Catalog & Microsoft Purview: Hand in Hand for Enterprise Data Governance

**Speaker**: Kristien Smans

Unity Catalog and Microsoft Purview work seamlessly together to provide end-to-end data visibility and governance. While Unity Catalog enables fine-grained metadata management and lineage tracking within Databricks, Microsoft Purview extends this governance across the entire enterprise. By integrating the two, organizations can centralize data discovery, automate classification, and improve metadata management across multiple platforms, including Azure Data Lake, Synapse, SQL, and Power BI.

The true synergy comes from their ability to connect Databricks assets with the broader enterprise ecosystem. Purview’s automated scanning brings Unity Catalog’s metadata into its data map, making Databricks data searchable alongside other business-critical sources. This unified view of data lineage helps organizations trace data movement from ingestion to consumption, improving compliance, impact analysis, and troubleshooting.

By leveraging Unity Catalog and Purview together, businesses can create a powerful, metadata-driven governance strategy that enhances data discovery, ensures consistency, and improves overall data understanding across the organization. Together, they provide a holistic approach to data governance—helping organizations unlock the full potential of their data while staying in control.

### From Files to APIs: Databricks’ Evolution Toward Low-Latency Operational Data

**Speakers**: Fabrice Deseyn

Databricks is evolving into a powerful platform for low-latency, operational data retrieval, enabling real-time decision-making and streamlined workflows. In this session, we’ll explore how Databricks transitioned from a file-based retrieval system for operational excellence to high-performance SQL execution, to the development of data retrieval APIs and PostgREST for online tables. This evolution is reshaping how we approach operational data, moving away from the traditional method of copying data to dedicated use cases, to a fully managed, low-latency data sync model.

Join us as we share the story of how Databricks enables new possibilities for operational workloads that put the Databricks data intelligence platform at the center of your operational workflows with near real-time data access.

dataMinds.be

Olivier Van Steenlandt

Benni De Jagere

Bille Bahlat

Shiven Gupta

Shailendra Kad

Adriano

Sebastian Fritsch

Esat

Bart Billiet

Romain Casteres

Itisha

yuzheng he

Frank Bennink

Nowfel Zafar SYED

Nìko

Azhar

Yao Wu

Unity Catalog & Microsoft Purview & From Files to APIs with Databricks

Cegeka

***This is the link to register to attend online. To register to attend in person, please use*** [Microsoft Fabric: Too Many Options - Which One(s) Should I Choose? (In Person)](https://www.meetup.com/oxford-microsoft-data-platform-group/events/307250222)

18:00- 18:15 - Networking
18:15: **Microsoft Fabric: Too Many Options - Which One(s) Should I Choose?** - [Ed Freeman](https://sessionize.com/app/organizer/speaker/9824/1a4e81ab-c6a3-4b8b-b6d9-d2775165e064)
19:45: Prize draw

**Session details:**
**Microsoft Fabric: Too Many Options - Which One(s) Should I Choose?**
Microsoft Fabric is an end-to-end data and analytics platform comprising multiple distinct services that can each achieve the same goal. For example, to perform the "T" step in "ELT" (that is, "Transform") we could use Dataflows Gen2, PySpark Notebooks, Python Notebooks, Spark Job Definitions, User Data Functions, SQL scripts in SQL Endpoints and Data Warehouses, Eventstreams, and so on. Regardless of whether you're new to Microsoft Fabric or you're an experienced user, it can always be a challenge to know which set of services is right for your workload.

In this talk, we'll implement the same end-to-end data pipeline using the same real-world data across a handful of these services, comparing things like performance, cost, developer experience, testability and monitoring & observability. Spoiler alert - there is no "correct" architecture. It will entirely depend on the factors that fit your solution's needs most appropriately. My goal is to show you the traits of each service that will help you make that decision for your own project.

This event is sponsored by Humand Talent Solutions, who provide the best technical talent for local start-ups and scale-ups, and Packt Books who provide the eBooks for the prize draw.

Oxford Microsoft Data Platform Group

Robert Minchin

Jo Kelly

Maruthi Siva Prasad

Rory Kelly

Bobby

Antony Catella

Serhii Basetskyi

Harry

Magnus Lander

Llazi Gusho

Mashiul Alam

Ikaros Tsantekidis

Filipa Lobão

Carl Hunter

Drew Spicer

Te’slim 

Mylene Sara

Rob Carrol

Howard Kealy

(Online) Microsoft Fabric: Too Many Options - Which One(s) Should I Choose?

Friends
We are happy to bring a topic that is happy for both Data and AI.
Navnit Shukla will be talking about "**Building Data Foundation for GenAI**".

As organizations rush to implement GenAI solutions, we examine why robust data architecture is the often-overlooked cornerstone of successful deployments. The talk will cover key components of an effective data foundation, including data quality frameworks, governance structures, and integration patterns specifically designed for GenAI applications. Through real-world examples and practical guidelines, attendees will learn how to build and maintain a data infrastructure that optimally supports their GenAI initiatives, ensuring both reliability and scalability. Special attention will be given to emerging best practices in data management that enable organizations to fully leverage the capabilities of Large Language Models while maintaining security and compliance standards.

Houston Area SQL Server User Group (HASSUG)

Olga

Paresh Motiwala

Anuja

Shalonda 

saikirananugam

Larry Shiller

Shashikala 

Nadir Paracha

Erez Carmel

Pete Rios

anjaiah

Bo H.

Qin Xu

Corey Taylor

Shahana Ayobi

Hoa K.

Aradhya Agrawal

Chebbi Amal

Elizabeth 

Building Data Foundation for GenAI

En esta charla en línea organizada por *Tech Community GT*, exploraremos cómo **GitHub Copilot Agent Mode** está revolucionando la forma en que desarrollamos software. Esta nueva funcionalidad lleva la experiencia del asistente de código al siguiente nivel, permitiendo una interacción más profunda con nuestros proyectos, mayor entendimiento del contexto y la capacidad de ejecutar acciones complejas desde el propio entorno de desarrollo.

Durante la sesión, conocerás cómo aprovechar Agent Mode para crear aplicaciones de forma más ágil y eficiente, integrando tareas como generación de código, documentación, pruebas, y más, todo impulsado por inteligencia artificial.

Una charla imperdible para desarrolladores que desean incorporar herramientas de IA en su flujo de trabajo y llevar su productividad al siguiente nivel.

Tech Community

Carlos Lopez

Geovani de León

Jairo Ramírez

landoveliz

ozseden.mustafa

Elmer Tzirín 

Luis Luna

Maria Jose Monterrey

Julio Cesar Melgar 

José Miguel

Hayron Ampérez

Dennis Reyes

Edwin Chuy (edchuy)

Roberto Carlos

Renato

Yisela Molina

Jossemar Cordero

donpiro

Raul

Season of AI: Creación de aplicaciones con GitHub Copilot Agent Mode

Azure Data Tech Groups

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