22-25 April 2026 
SQLBits 2024
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
Application development space is changing rapidly in the modern cloud-based world. Data warehouse space is changing and evolving not less.
This session explores the fundamental shifts in data warehousing architecture and data processing design principles
During this session, we will discuss
* Data modelling terminology
* Data warehouses purpose
* Centralized and Decentralized data access architectures
* Modern Data Warehouses Challenges
* Which data is worth keeping
You will leave with an understanding of how to pull, process and store the company data in the cloud so it's ready for decision-makers and is easy to analyze.
This session explores the fundamental shifts in data warehousing architecture and data processing design principles
During this session, we will discuss
* Data modelling terminology
* Data warehouses purpose
* Centralized and Decentralized data access architectures
* Modern Data Warehouses Challenges
* Which data is worth keeping
You will leave with an understanding of how to pull, process and store the company data in the cloud so it's ready for decision-makers and is easy to analyze.
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!