Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads

Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads

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As companies deal with rapidly-growing amounts of data, relying on traditional business intelligence (BI) tools alone to manage their critical information is no longer an option. Although there is still a place for general purpose BI platforms to manage small workloads and perform basic analyzing tasks, the growing complexity of workloads and  data requests are forcing companies to integrate purpose-built analytical platforms with their existing BI infrastructures.

Purpose-built analytical platforms offer companies superior data warehousing (DW) capabilities and advanced functionality to more easily and effectively perform data analysis. In her keynote presentation, industry analyst Lyndsay Wise will discuss the challenges companies are facing today by relying on traditional BI tools and systems alone and will highlight the benefits of adopting an integrated BI and DW architecture to meet the increasingly-complex demands of business today.

Vendor:
Teradata
Posted:
18 Oct 2012
Published:
18 Oct 2012
Format:
PDF
Length:
16 Page(s)
Type:
Presentation Transcript
Language:
English
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