Dr John Tunnicliffe
John is a well-respected designer and architect of business intelligence solutions who likes nothing more than getting his hands dirty with real life coding problems. John is an independent consultant with extensive experience of implementing Business Intelligence solutions on the Microsoft platform across a wide range of industries including financial services, retail and professional services organisations.
John designs and builds solutions based on Microsoft SQL Server / SSAS / SSRS / SSIS delivered to the end-user through Power BI dashboards.
Pulling on his systems integration skills whereby disparate components are brought together in a coherent fashion, John has become an expert in applying continuous integration techniques to data warehouse projects, thereby ensuring code is automatically built, deployed and tested as changes are made by the development team.
John is also a regular speaker at the SQLBits conference and SQL Saturday events.
Dr John Tunnicliffe has submitted a session for SQLBits XV, although the agenda hasn't been chosen yet. See all submitted sessions
Continuous Integration is not normally associate with data warehouse projects due to the perceived complexity of implementation. John will be showing how modern tools make it simple to apply Continuous Integration techniques to data warehouse project
John will introduce you to Analysis Services 2008, demonstrate browsing cubes with Excel 2007, deploying dashboards in SharePoint built using Excel Services and demonstrate how PerformancePoint Services can add the glitz to your BI project.
This session will present the tools and techniques used to create OLAP cubes and supporting data marts on-the-fly from a mere set of data files and configuration metadata.
Users love flexible analytics but hate to wait for the data to be loaded into a traditional data warehouse. John will describe how to build an infrastructure to support real-time loading of your OLAP cubes so your user's get exactly what they want
Processing of SSAS OLAP databases can be a tricky business, particularly when it comes to incremental processing of dimensions. John will give you real life examples of why certain approaches work and others do not.
Data warehouse designers often ignore the specific needs of an OLAP database. In this session, John will outline the best ways to optimise your relational database to support your multidimensional OLAP cubes