Alpa Buddhabhatti

Many organizations want to deliver AI-driven insights—but struggle with fragmented pipelines, inconsistent governance, and data platforms that aren’t designed for modern analytics at scale. This hands-on full-day workshop shows how to design and implement a practical, real-world analytics...

Generative AI is changing how users interact with analytics data. New capabilities such as Fabric Data Agents, Copilot, and Microsoft Foundry are helping organizations move beyond traditional dashboards to more natural and intelligent ways of working with data.

Understand how metadata-driven design improves scalability and reusability in Microsoft Fabric pipelines. Learn how to implement the Medallion Architecture (Bronze, Silver, Gold) using Fabric-native services. Gain practical guidance for delivering trusted, analytics-ready data for downstream...

In this session, we'll walk you through practical techniques for handling various data issues, such as formatting problems, conversion, and more. Whether you're a seasoned data professional or just starting your data journey, this session will equip you with the skills and knowledge needed to...

Discover how Copilot empowers developers by automating tasks, offering code suggestions, and providing real-world assistance. We'll showcase its capabilities through practical demonstrations, including a use-case in building an Azure Function. Technologies covered in the demo include Azure...

Join our 20-minute session to explore Azure OpenAI's core principles, capabilities, and real-world applications. Whether you're a newcomer or need a quick refresher, this session is your gateway to unlock the potential of Azure OpenAI. We'll also demonstrate its integration with Azure Data...

Azure Data Factory Bicep Azure Data Factory (ADF) is a mighty tool when it comes to creating data loading workflows and orchestrations. However, creating ADF loading logic takes a lot of clicking and even though it is thoroughly integrated with Git, the code representation of ADF resources is hardly ever used. Bicep is a mighty tool when it comes to creating Azure Resources from Code and its capabilities go beyond just creating infrastructure resources. What if both came together and we were able to create ADF Linked Services, Datasets and Pipelines from a Bicep template? It would be a match made in heaven. But why wait for dreams to come true? In this session we will introduce you to the basic concepts of ADF and Bicep and then show you how you can create ADF from Code by writing Bicep files and deploy them to your Azure subscription with one click.

In this session, I will provide overview of Azure Data Factory, Azure Function and Logic Apps. Later I will show Demo using ADF, Logic Apps and Azre Function and Azure Key Valut. Main objective of this session is to provide overview of serverless Azure technology such as below so attendee can apply this ideas in there senarios. *Azure Data Factory *Azure Function *Logic Apps *Azure Key Vault *Azure Blob Storage *Azure SQL Server

In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. This demo will also use the following technologies: * Azure Key Vault * Azure SQL Database * Azure Blob Storage * Azure Devops * Azure Data Factory and its Data Flows. The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios.

The Key takeaway is that attendees will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also attendee gets to know well about Azure Machine Leaning.