22-25 April 2026 
SQLBits 2018
Azure SQL Data Warehouse Optimizing and Maintaining
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance. We will look at distribution types, index considerations, execution plans, workload management and loading patterns. At the end of this talk you will understand the common pitfalls and be empowered to either construct a highly performant Azure SQL Data Warehouse or address performance issues in an existing deployment.
Speakers
Robin Lester's previous sessions
How to Run a Successful AI Project
In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
Ethics and Bias in data science
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
Azure Machine Learning and the Python SDK
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Azure SQL Data Warehouse Optimizing and Maintaining
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.