Christian Cote
IA-Tech Consulting
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Christian Coté is an IT professional with more than 20 years of experience working in data warehouse and data lakehouse projects. He developed ETL processes using a range of tools on multiple platforms. Christian has been a presenter at a number of conferences and code camps. He currently co-leads the SQL Server PASS chapter in Montreal. He is also Microsoft Data Platform MVP.
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Fabric Data Lakehouse
When it's time to create a new data Lakehouse or enhence an existing one, Microsoft Data Fabric is the service to use in Azure cloud. This session will show you how can Microsoft Fabric can be use to get your users the data they need to do their work.
Data Modeling in Data Lakehouses
This session will introduce some of best practices on the following topics:
- How to architect a Data Lakehouse using the medallion design (Bronze-Silver-Gold)
- What type of structures are best suited in each zone.
AT the end of the session, the attendees will have a good understanding on the purpose and type data of each Data Lakehouse zones.
Leverage AI to enhance your experience with Fabric Data Warehouse Copilot and AI Skills
The Copilot for Data Warehouse feature within Microsoft Fabric is an AI tool designed to simplify data warehousing processes, offering capabilities such as converting natural language queries into SQL, completing code, performing Quick Actions, and providing Intelligent Insights.
AI Skills allow the creation of tailor-made conversational Q&A platforms within Microsoft Fabric by harnessing generative AI technology. These systems are reliable and draw upon data to furnish users with accurate answers, enabling them to query without needing in-depth SQL knowledge.
This session will guide you on implementing these two technologies within your team, maximizing your journey towards data discovery.
Fabric from the Ground Up
In this presentation, Christian and Michelle will talk about why do we want to use Microsoft Fabric and will explain the Fabric capacity, security and pricing models.
They will also discuss the differences between a Lakehouse and a Warehouse, along with example use cases.
Lastly, they will demonstrate the options, advantages and limitations of the Power BI Direct Lake access capability.
The power of Azure Synapse SQL Pools
Azure Synapse Analytics provides two types of SQL Pools: Serverless and dedicated. In this session, we will answer questions and discuss topics such as:
- Lakehouse vs Datawarehouse?
- What are the role and usage of the Serverless Pool vs the Dedicated SQL Pool?
- How to distinguish between the two Pool types?
- Do we still need a SQL Database or is the Dedicated SQL Pool sufficient (talk about the differences?
- High level optimization techniques
Copilot for Fabric Data Engineering
How can we use AI when it comes to load and transform data with Fabric? This session will answer this question. Usage of Copilot in both Data Factory and Data Engineering Notebooks will be discussed and demonstrated. You will learn how AI can make you more productive data engineer!
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