Gartner Research

China Summary Translation: 'The Data Warehouse and DMSA Market: Current and Future States, 2016'

Published: 17 January 2017

ID: G00317555

Analyst(s): Merv Adrian , Adam Ronthal , Owen Chen

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

主要影响

建议

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

  • Impacts
  • Recommendations

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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