22-25 April 2026 
SQLBits 2023
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.
Databricks is one of the best tools for data exploration. It allows us to connect and query any data management service or read files in various formats. Databricks runs on every major public cloud, Azure, AWS, Google, and is tightly integrated with the cloud security, storage, and other cloud services. Databricks allows you to use the SQL language or programming languages like Scala or Python in a rich web interface based on Jupyter Notebooks.
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.
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.
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!