Freddie Santos
Microsoft - Senior Program Manager | Microsoft Fabric CAT
Charlotte, North Carolina, United States
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With over 23 years of experience on IT and Data Platform, Freddie had the opportunity to work in different big IT players, supporting and implementing a wide range of Data products.
At Microsoft, Freddie worked on different segments and industries with products such as SQL Server, Azure SQL DB, Azure SQLDW, Azure Synapse Analytics, Azure MySQL and Azure Postgres SQL.
With experience working with different stakeholders, Feddie helped to implement, support and optimization of customer workloads, along with architecture and system designs on Data Platform.
More recently, Freddie joined the Microsoft Fabric Product group as member of Fabric CAT Team.
Area of Expertise
Topics
Diving Deep: Data Mesh on Microsoft Fabric
In this session, we will explain how we can enable Data Mesh in Microsoft Fabric.
Looking at the main concepts of the Architectural Pattern and how Microsoft Fabric simplifies and empowers architects to achieve those.
By using components like OneLake Shortcuts and Data Domains, we will show how we can implement a Data Mesh architecture on Fabric.
Seamless Data Migration to Microsoft Fabric: Strategies and Best Practices
In the rapidly evolving world of data management, migrating from traditional SQL databases to modern data platforms like Microsoft Fabric is crucial for leveraging advanced analytics and real-time capabilities. This tech session focuses on effective strategies for migrating data from SQL to Fabric, providing practical insights and how to obtain the best performance,
This interactive, demo-based session will equip attendees with the knowledge to:
Migrating SQL Data to Fabric:
Understand the process and best practices for migrating data from SQL databases to Microsoft Fabric, ensuring data integrity and minimal downtime.
Configuring Fabric for Optimal Performance:
Learn how to set up and configure Fabric to handle migrated data efficiently, optimizing for performance and scalability.
Querying Data in Fabric:
Explore the powerful querying capabilities of Fabric, including advanced techniques to retrieve and manipulate data effectively.
By the end of this session, attendees will have a comprehensive understanding of the migration process from SQL to Fabric, empowering them to manage and analyze their data more effectively. Whether you’re a data architect, a database administrator, or a data enthusiast, this session will provide the essential skills and knowledge to successfully transition to and leverage the capabilities of Microsoft Fabric in your data management strategies.
Private Endpoints for Microsoft Fabric, what it means to you?
On that session, we will explore network security options for Microsoft Fabric, and the implications of those on your analytics projects.
Modern Analytics Architecture on Microsoft Fabric
On this session we will look on the common architecture and patterns on the analytical workloads and how we can apply those on Microsoft Fabric. We will define the concepts of Data Warehouse, Lakehouse and Data Mesh, checking their use patterns and discussing how we can build architectures end to end on Microsoft Fabric.
Microsoft Fabric - How does it change the analytics game?
On this session we will look on the current Azure Analytics Landscape and demonstrate the differences on architecture, solutions and how Microsoft Fabric changes paradigms and step your analytical game up.
Inside Microsoft Fabric Datawarehouse Engine
Do you want to know how Microsoft Fabric and Azure Synapse Analytics can help you unlock the full potential of your data?
If yes, then join us for this session where we will explore the similarities and differences between these two powerful solutions. In this session, we will cover:
The architecture and features of Microsoft Fabric and Azure Synapse Analytics, and how they enable you to build modern data platforms that support various analytics workloads.
The benefits and challenges of using Microsoft Fabric and Azure Synapse Analytics, and how to choose the best option for your specific use cases and requirements.
The migration strategies and best practices for moving your existing data warehouse workloads from Azure Synapse Analytics to Microsoft Fabric.
The demo scenarios and examples that showcase the capabilities and performance of Microsoft Fabric and Azure Synapse Analytics in action.
Analytics Architectures on Microsoft Fabric
Data is the new oil, and analytics is the engine that drives value from it. However, the analytical workload has evolved over time, from simple reporting and dashboarding to complex machine learning and artificial intelligence. How can we keep up with the changing demands and challenges of data analytics? How can we leverage the latest technologies and innovations to transform our data into insights? In this presentation, we will explore the evolution of analytical workload and how Microsoft Fabric can help us achieve our data goals.
We will cover:
The history and trends of analytical workload, from descriptive analytics to predictive analytics to prescriptive analytics, and how they differ in terms of data types, processing methods, and use cases.
The challenges and opportunities of analytical workload, such as data volume, variety, velocity, veracity, value, etc., and how they affect the performance, scalability, reliability, and security of our data platforms.
The features and benefits of Microsoft Fabric, an end-to-end analytics platform that integrates technologies like Azure Data Factory, Azure Synapse Analytics, Azure OpenAI Service, Power BI, etc., into a single unified product that provides all the capabilities required for building modern data platforms that support various analytics workloads.
The demo scenarios and examples that showcase the capabilities and performance of Microsoft Fabric in action, such as data ingestion, etc.
Understand Synapse dedicated SQL pool (formerly SQL DW) and Serverless SQL pool
Do you fully understand the differences of dedicated SQL pool and Serveless SQL Pool? This session intends to cover the way both analytics runtime work.
OneLake the core of Microsoft Fabric
On this session we will talk about OneLake, and how it empowers the different workloads and engines with Microsoft Fabric.
OneLake the core of Microsoft Fabric
On this session we will look at capabilities, formats, and possibilities of using OneLake. And how it enables and empowers different analytic architectures using Microsoft Fabric.
Microsoft Fabric - Data Analytics for the era of AI
On this session, I intend to talk about what is Microsoft Fabric, what challenges we intend to solve by bringing this new product and talk about some of core engines that are part of the product.
CANCELLED - Cleveland Data Rocks '25 Sessionize Event Upcoming
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Data Toboggan 2023 Sessionize Event
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