This presentation includes an overview of SQL Server 2012 & a deep dive into SQL Server 2014 columnstore indexes, including a review of the architecture, as well as the challenges, workarounds, travails, & big wins at customer sites
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
Learn how to use the Power BI tools to help you analyse, specify and test the concepts and requirements of your next data Warehouse project.
This presentation discusses the process undertaken to achieve the certification of a 90TB SanDisk solution (HP DL580 Gen8 and Fusion ioMemory) whilst achieving an efficient out-of-box balance between SQL Server data processing capability and hardware
As data warehouse developers we deliver data to business users... but we don't deliver data as fast as we want. There are many things you can do to increase your own productivity and become a more efficient data warehouse developer.
This session goes beyond the classical star schema modeling, exploring new techniques to model data with Power Pivot and SSAS Tabular. You will see how brute-force power in DAX allows different data models than those used in SSAS Multidimensional
You have tuned your SQL server to it's limits, you have maxed the RAM on your server, and still your data warehouse is too slow. Is a Parallel Data Warehouse the next step?
Big Data has triggered the need for organisations to build real-time Operational Data Store (ODS) layers to feed the ‘Data Lake’ on Hadoop. Attend this lunchtime session to learn why a real-time ODS should be at the heart of your data architecture
T4 templating will be a first class citizen in SSDT for SQL Server 2014. This session will show why you should use this technology for SQL code generation and how you can automate the process. The session will be demo rich.
“Just use partitioning” is the answer you hear, when you need to manage very large data sets in your Data Warehouse. But how do you design and implement it? We will walk through different ways to design partitioning, including layered partitioning.