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James Rowland-Jones

microsoft.com/en-us/sql-server/sql-server-2019

James is the Product Management Lead for SQL Server Big Data Clusters. He is passionate about delivering highly scalable solutions that are creative, simple and elegant in their design. James specializes in big data warehouse solutions such as Microsoft Analytics Platform System (APS), Azure SQL Data Warehouse. Hadoop ecosystems.

James is a keen advocate for the SQL Server community; both internationally and in the UK. He has previously served on the Board of Directors for PASS and helped organise SQLBits. James was awarded Microsoft’s MVP accreditation from 2008 - 2015 for his services to the community.

 

You can find James on twitter @jrowlandjones or www.linkedin.com

James Rowland-Jones's Training Days

A Data Engineer’s Guide to Azure SQL Data WarehouseSQLBits 2018

Azure SQL Data Warehouse provides a blazing fast, petabyte-scale SQL system. This all-day pre-con helps you, the data engineer, make the most of all this power by learning directly from the Microsoft Product group and industry leading consultants.

MPP: Data Warehousing at Scale with SQLDW & APSSQLBits 2016

Massively Parallel Processing (MPP) database systems are designed to deliver analytical performance at scale. This pre-con introduces you to MPP; accelerating your development skills and practical experience using Azure SQL Data Warehouse and APS.

James Rowland-Jones's Sessions

Agnostic, Hybrid Big Data Integration using PDW and PolyBaseSQLBits 2015

PolyBase is one of the most exciting, innovative features in PDW; enabling transparent data integration with Hadoop's distributed file system (HDFS) and Windows Azure Storage Blobs (WASB). See it in action.

Demonstrating PDW integration with Hadoop & PolybaseSQLBits 2014

Polybase is one of the most exciting, innovative features in PDW; enabling transparent data integration with Hadoop's distributed file system (HDFS) and soon Windows Azure Storage Blobs (WASB). See it in action.

The Art of War-Fast Track Data Warehouse & FragmentationSQLBits 2011

When loading a Fast Track Data Warehouse it is important to ensure that your data is optimally laid out for Sequential I/O. Fragmentation is therefore the enemy. Know your enemy. Learn what it is, how it occurs and prevent it from happening to you!