Business Intelligence

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  • Nov 19, 2012
    blog

    PowerPivot as Tableau Data Source 2

    I find PowerPivot to be an incredibly powerful tool for building ad-hoc analytical models from heterogeneous data sources. Now, there are a LOT of tools on the market today that can do that. But PowerPivot has the unique position of being fully integrated into Excel, which means that the power to build in-memory analytical models is now very easy and very much now the domain of business and data subject matter experts....More
  • Nov 11, 2012
    blog

    Big Data Analytics with Hive, Windows & SQL Server 1

    Big Data has become one of the most over-used and over-loaded terms in IT and data management in recent years. Since we focus on business intelligence for SQL Server in this blog, I think it’s fair to make the statement that many of us have had “big data” data warehouses and analytics in SQL Server for many years....More

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From the Blogs
Sep 1, 2015
blog

Stop Using INFORMATION_SCHEMA and SysObjects for Exists Checks

Code like this isn’t optimal: IF EXISTS(SELECT * FROM sys.objects WHERE name = N'TableToDrop' AND type = 'U')         DROP TABLE TableToDrop; GO Neither is this: IF EXISTS(SELECT TABLE_NAME FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'TableToDrop')         DROP TABLE TableToDrop; GO Yet, I see both of those used all of the time – over and over again. Even though it’s 2015.  ...More
Aug 27, 2015
blog

A Replacement for Maintenance Plan Backups 1

This blog post is a bit of a ‘repeat’ – since I already covered much of the rationale behind this post in Part 23 of my multi-part series on AlwaysOn Availability Groups and SQL Server Agent Jobs. But, I also figured that this is enough of an important topic to merit its own blog post....More
Aug 19, 2015
blog

Looking forward to Containers

Virtualization has long been a staple when it comes to computing. In essence, virtualization is really just the use of abstraction to make things either easier to manage or more fault-tolerant. Disks, for example, have long been virtualized in the sense that a single, physical, can easily be divided up into multiple logical (or virtual) volumes (or drives) just as easily as a number of discreet physical disks can also be virtualized into a single drive (via RAID) – which can further be partitioned into volumes, LUNs, and so....More
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