Gartner Research

2020 Planning Guide for Data Management

Published: 07 October 2019

Summary

Data management architectures and technologies continue to evolve rapidly. They promise higher efficiencies but demand deeper understanding of risks and implications. Data and analytics technical professionals must prepare to adopt the innovations to meet current business needs and future demand.

Included in Full Research

  • Frictionless Data Movement Will Demand a Modular, Flexible, End-to-End Architecture That Spans Edge, Cloud and On-Premises
    • Planning Considerations
  • Data Stores Will Accommodate More Complex Use Cases
    • Planning Considerations
  • Revolutionary Changes in Data Management Will Drive IT to Adopt New Operating Models and Roles
    • Planning Considerations
  • New Regulations and Compliance Will Demand Comprehensive Distributed and Coordinated Data Governance
    • Planning Considerations
  • AI/ML Advancement Will Improve Data Management Workload Delivery, but With an Added Burden
    • Planning Considerations

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