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Business intelligence and Data warehousing job layoff Print E-mail
Tuesday, 18 November 2008

The economy is slowing and people are losing jobs. What will be the effect on BI professionals? It is obvious that BI professionals will also be affected by the bad economy,

But how much?

One should note that finding and hiring high-performance business intelligence (BI) professionals for an IT company is still not an easy task. Companies don't lay off their best BI employees - in fact, they will do all they can to keep them inthe organization.

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In Memory Analytics - Emerging BI trend Print E-mail
Wednesday, 22 October 2008

In-memory analytics is an emerging business intelligence trend. This enables the analytics to be performed in RAM, therefore avoiding the need for time-consuming hard-disk i/o tasks. This has a trememndous potential of quantum jump in BI performance. The announcement of Gemini project from microsoft on October 6,2008 has triggered the competetion in the area of BI.

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Data warehouse vs Data mart Print E-mail
Friday, 15 August 2008

Data mart and Data warehousing are two such jargons of BI, which creates two different definitions from any two BI experts. The long running debate between Ralph Kimball and Bill Inmon, the two Titans of Data Warehousing, only adds to the confusion.

Let me try to briefly explain what the two terms mean.

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Data warehousing in Manufacturing Industry Print E-mail
Thursday, 07 August 2008

Business Intelligence and Data warehousing in manufacturing industries

Manufacturing industries these days have come out of the old all manual system and implemented lot of automated processes. They are trying to adopt to the ever changing information technology standards. Even though the pace is less, someday many manufacturing organizations will surely boast of their world class IT systems.

As and how any manufacturing organization makes progress in implementing new automated systems, there will be huge addition to the amount of data that is being created. It is extremely important to capture these information in a timely manner to provide valuable BI data. However, maintaining a quality data warehouse for a manufacturing organization is not as easy as it sounds.
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