22-25 April 2026 
SQLBits 2024
The Decentralized Data Access Revolution
During this session, we will discuss why many companies shift towards decentralized data access architectures. We will discuss Data Mesh and Data Fabric paradigms, and explore their principles, benefits and challenges.
The traditional centralized data access model faces more and more challenges.
During this session, we will discuss why many companies shift towards decentralized data access architectures. We will discuss Data Mesh and Data Fabric paradigms, and explore their principles, benefits and challenges.
Session highlights:
* Understand core concepts and principles behind Data Mesh and Data Fabric architectures
* Learn about the challenges and considerations when adopting Data Mesh or Data Fabric within your organization
* Gain insights into how decentralized data access models enhance data quality, accessibility and scalability.
During this session, we will discuss why many companies shift towards decentralized data access architectures. We will discuss Data Mesh and Data Fabric paradigms, and explore their principles, benefits and challenges.
Session highlights:
* Understand core concepts and principles behind Data Mesh and Data Fabric architectures
* Learn about the challenges and considerations when adopting Data Mesh or Data Fabric within your organization
* Gain insights into how decentralized data access models enhance data quality, accessibility and scalability.
Speakers
Maria Zakourdaev's previous sessions
Building Tomorrow's Warehouse Today: Modern Data Warehouse Modelling Insights
This session explores the fundamental shifts in data warehousing architecture and data processing design principles
The Decentralized Data Access Revolution
During this session, we will discuss why many companies shift towards decentralized data access architectures. We will discuss Data Mesh and Data Fabric paradigms, and explore their principles, benefits and challenges.
Analyzing Big Data in Azure cloud using Spark and Databricks
During this session, we will talk about Azure Databricks' key features, and typical scenarios where Spark can fit, will see a lot of demos and I will share my top list of Azure Databricks best practices.
Building Your Data Analytics Team - live RunAs Radio episode
Panel Discussion moderated by Richard Campbell of RunAs Radio!