If your organisation doesn't have dirty data, it's because you are not looking hard enough. Join this session to see what you can do to clean up your data properly, using SQL Server 2017.
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.
We will showcase the latest feature of SSIS 2017 such as connectors for Azure Data Lake Store (ADLS), Azure SQL Data Warehouse (SQL DW), SSIS Scale-Out at package level for the box product as well as the SSIS package execution on Azure Data Factory
DevOps and continuous integration provide huge benefits to data warehouse development. John will be showing how you can use VSTS and Octopus Deploy to build, test and deploy your data warehouse
Learn about the new compute optimized performance tier in SQL Data Warehouse and how to maximize your performance through improved table design and columnstore optimization.
In this session we will discuss about the Azure SQLDW and how we can use it to help on our day to day.
Pyramid Analytics BI Office’s Enterprise BI Platform and PrecisionPoint’s data warehousing solution for MS Dynamics ERP systems combine to deliver simplified access to key Business and Financial data.
Using SQL Server Service Broker you can create near real-time data in your data warehouse for more timely analysis and reporting.
This session describes columnstore index internals with deep insight into data compression methodology for achieving high query performance including improvements in column store investments for SQL Server 2016 and Microsoft Azure SQL Database
This session covers the more advanced aspects of development for Azure SQL Data Warehouse. Areas such as data movement, workload concurrency and resource management will all be covered during this intense 60 minute session.
Continuous Integration is not normally associated 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 projects
The typical performance bottleneck in your data warehouse is using SSIS to insert massive amount of data into SQL Server. In this session, you will learn how to improve the load performance with SSIS into SQL Server.
Virtualization has had a major impact on computing. While data professionals have adjusted to this for database servers, many BI workloads have moved there as well. Learn about the impact of virtualization on BI.
Do you get involved in the creation of Business Intelligence solutions within your organisation? This session will show you the new features of SQL Server 2016 Business Intelligence components.
This session will examine how to successfully design a modern data architecture on the Microsoft Azure cloud platform. Focusing on design tenants for efficient, scalable and resilient data processing
Understand the principle behind Microsoft’s Fast Track program, how architectures are produced and certified, and a review of the two new SQL Server 2014 Data Warehouse Fast Track Certifications, the 5TB and 7TB single socket configurations from Lenovo
Data Warehouses are changing. This session will run through the architecture of the modern warehouse, from structured/unstructured Azure Data Lakes to platform as a service Azure Data Warehouse and bringing the two together.
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.