Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for …
In today’s rapidly changing financial world, designing robust and durable data warehouses can be a challenge that does not always stand the test of time.
This talk discusses Agile Data Warehouse Design. This is a step-by-step method for data warehousing / business intelligence (DW/BI) professionals to better collect and translate business intelligence requirements into successful dimensional data warehouse designs.
Graph databases are one of the new technologies encouraging a rapid re-thinking of the analytics landscape. By tracking relationships – in a network of people, organizations, events and data – and applying reasoning (inference) to the data and connections, powerful new answers and insights are enabled.
Jim Erickson interviews Chris Adamson, data warehouse specialist & consultant, about Dimensional Models and Big Data Challenges.
This presentations explains how Microsoft SQL Server 2008 R2 data management software can improve the performance of data warehouse systems. Performance and scalability go somewhat hand in hand. The better that your data warehouses perform the more scalable they tend to be. We look at the optimizations that were made …
