22-25 April 2026 
SQLBits 2017
A Deep Dive Into Data Lakes
Learn the ins and outs of Azure Data Lake in this deep dive
The Azure Data Lake is one of the newest additions to the Microsoft Azure Cloud Platform, bringing together cheap storage and massive parallel processing in two quick-to-setup and, relatively, easy-to-use technologies. In the session we will dive into the Azure Data lake.
First of all exploring:
Azure Data Lake Store: How is data stored? What are the best practices?;
Azure Data Lake Analytics: How does the query optimiser work? What are the best practices?
Second, a practical demonstration of: Tuning U-SQL: Partitioning and distribution: Job Execution in Visual Studio
First of all exploring:
Azure Data Lake Store: How is data stored? What are the best practices?;
Azure Data Lake Analytics: How does the query optimiser work? What are the best practices?
Second, a practical demonstration of: Tuning U-SQL: Partitioning and distribution: Job Execution in Visual Studio
Speakers
Ust Oldfield's previous sessions
Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches
In the realm of data management and analytics, choosing the right data modelling approach can be a daunting challenge. Some have a preferred path, while others are navigating uncharted territory. "Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches" is your ticket to exploring this diverse landscape. Join us as we embark on an adventure through various methodologies, from Dimensional to Data Vault and beyond. Gain a deep understanding of their unique strengths and when to deploy them for optimal results. Whether you're a seasoned data pro or a curious enthusiast, this session is your key to demystifying data modelling. Discover the perfect approach for your next data-driven endeavour in this exhilarating showdown!
Implementing a Data Quality Framework in Purview
Building a Data Quality implementation in Purview using the Glossary and Databricks
So you want to be a Data Engineer?
An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.
Tabular Automation With TMSL and PowerShell
This session will explore the Tabular Model Scripting Language (TMSL); how TMSL can be used with PowerShell to automate the creation and deployment of an Analysis Services Tabular Model.
A Deep Dive Into Data Lakes
Learn the ins and outs of Azure Data Lake in this deep dive