22-25 April 2026 
SQLBits 2020
Big Data Processing with .NET and Spark
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
When you need to process and prepare terabytes or even petabytes of data, Spark is a powerful and flexible choice for any data professional. With .NET for Apache Spark, you can leverage your existing knowledge, skills, code, and libraries as a .NET developer while still maintaining the performance and flexibility of Spark. Come learn how to leverage the best of both of these technologies to enable high-performance data preparation processing!
Speakers
Michael Rys's previous sessions
Big Data & Data W'housing Together w/ Azure Synapse Analytic
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Big Data Processing with .NET and Spark
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Execute your custom code in Python/.Net/R @ Scale with U-SQL
In this session, I will showcase how you can bring your Python, R, and
.NET code to Azure Data Lake and apply it at scale using U-SQL.
Modernizing ETL with Azure Data Lake
Modernizing ETL with Azure Data Lake: Hyperscale, Multi-format, Multi-platform, & Intelligent
Scaling out your Cloud Database with SQL Azure Federations
In this presentation, we provide an introduction to SQL Azure Federations and also show
some interesting patterns that provide additional capabilities such as
scale-out query processing, cross-shard schema management and multi-key sharding.