Gartner Research

The Data Warehouse and DMSA Market: Current and Future States, 2016

Published: 16 June 2016

ID: G00301983

Analyst(s): Mark Beyer , Adam Ronthal , Roxane Edjlali

Summary

Distributed processes via platforms such as Hadoop, semantic tiers (data virtualization/federation) and advanced analytic users have evolved data warehousing deployment and architectures. Data and analytics leaders must understand this to support future requirements and enable new initiatives.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • More than 10% of enterprises have now deployed some form of the LDW architecture, and it has emerged as the primary enabling architecture to support bimodal demands on data management for analytics
  • New, flexible deployment options and cost models manifested by cloud and "as-a-service" offerings are becoming increasingly legitimate alternatives to traditional on-premises approaches
  • As new technologies and deployment options such as data lakes proliferate, they will augment rather than replace traditional data warehouse and DMSA deployment practices

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