SQLBits 2012
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.
In order to building a successful internet-based application, you often need to
scale-out your data processing to be able to scale your data processing needs
with your business needs. In 2011, we introduced SQL Azure Federations to enable
building application-aware scale-out solutions with SQL Azure. 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.
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.