The Data Warehouse DBMS Market's 'Big' Shift


Archived Published: 18 September 2014 ID: G00270130

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Summary

The traditional data warehouse has been overwhelmed by analytic demands, giving rise to the logical data warehouse as a best-in-class architecture for a new style of data management solutions for analytics.

Table of Contents

  • Analysis
    • Expanding the Data Warehouse
    • Big Data's Role in the Data Warehouse
    • The Emergence of Best-Fit Engineering
  • Impacts and Recommendations
    • Because traditional data warehouse practices will be outdated by the end of 2018, data warehouse solution architects must evolve toward a broader data management solution for analytics
    • Starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with "big data" and other emerging technology types
    • CIOs can develop strategic goals now that leverage "best-fit engineering" approaches to manage analytics data management costs by clarifying when to use vendor "stacks" and when to utilize best-of-breed
  • Gartner Recommended Reading
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