Presentation Transcript: Data Warehousing Basics for SQL Server Analysis Services
more at Presentation Transcript- Data Warehousing Basics for SQL Server Analysis Services
Presentation Transcript: Data Warehousing Basics for SQL Server Analysis Services
more at Presentation Transcript- Data Warehousing Basics for SQL Server Analysis Services
In this E-Book, data warehousing and BI expert Rick Sherman explains how you can take advantage of BI trends to ensure that you get the right information to the right people at the right times, so they can make the best possible decisions.
more at E-Book- Five Technology Trends for Improved Business Intelligence Performance
Today's Dashboards can deliver what users and the organization as a whole need to know so as to understand their current business and even conduct informed forecasts.
Clalit Health Services, the largest health maintenance organization (HMO) in Israel, and believed to be the second largest HMO in the world, has learned the value of pulling business intelligence (BI) from its data stores to help the organization provide better care for its 3.8 million members as it supports more than 70 million customer interactions per year.
more at http://www.unisys.com/unisys/ri/cs/detail.jsp?id=12500004&pid=&sid=4100002%20
Consolidation of SQL Server instances and databases has become a common practice over the past few years. In most environments, this consolidation focuses on application-based databases that generally support OLTP workloads. But you should consider a completely different type of SQL Server use for consolidation: a data warehouse. With SQL Server, a data warehouse typically includes Analysis Services, but it usually has significant relational components as well.
EMC Expands Services and Solutions for Microsoft Business Intelligence, Data Warehouse and SQL Server Enables Timely and Relevant Business Insight Through Consulting Expertise and Validated Solutions for Presenting, Analyzing, and Cost Effectively Managing Data
more at http://www.reuters.com/article/pressRelease/idUS139560+04-Nov-2009+PRN20091104
Some topics just never seem to die, however much their demise is deserved. When you think you have heard the last of something, here it comes again, just like a bad penny.
Recently, I was at a conference, and I heard the following discussion about what a data warehouse was. One person suggested that a data warehouse was really all the old legacy systems connected by software that could access the data. By calling such a contraption a data warehouse, the organization could avoid having to do the hard and complex work of integration.