Data Gravity: Managing the Impact as It Shifts to the Cloud
Description
Data Gravity: Managing the Impact as It Shifts to the Cloud
This IDC Perspective discusses data gravity and its possible impact on European organizations. Data gravity is when large data sets continue to attract applications and other data sets, making it difficult and inefficient to move data. Organizations need to balance its benefits and consequences with strong data governance, mobility, and management guardrails to ensure they remain flexible, nimble, and resilient. "European organizations across all verticals are making big changes, such as running business operations (e.g., reporting or automated decisioning) in the cloud and not on legacy data platforms, making cloud the core foundation," said Archana Venkatraman, associate research director, European CloudOps and DataOps Research. "Data in the cloud is gathering significant mass. With clear data management, governance, hybrid architectures, and mobility capabilities, organizations can mitigate the risks of data gravity. Concepts such as data mesh architectures also hold promise for using data where it is rather than migrating it elsewhere. Organizations should also consider adopting these technologies as they mature."
Please Note: Extended description available upon request.
This IDC Perspective discusses data gravity and its possible impact on European organizations. Data gravity is when large data sets continue to attract applications and other data sets, making it difficult and inefficient to move data. Organizations need to balance its benefits and consequences with strong data governance, mobility, and management guardrails to ensure they remain flexible, nimble, and resilient. "European organizations across all verticals are making big changes, such as running business operations (e.g., reporting or automated decisioning) in the cloud and not on legacy data platforms, making cloud the core foundation," said Archana Venkatraman, associate research director, European CloudOps and DataOps Research. "Data in the cloud is gathering significant mass. With clear data management, governance, hybrid architectures, and mobility capabilities, organizations can mitigate the risks of data gravity. Concepts such as data mesh architectures also hold promise for using data where it is rather than migrating it elsewhere. Organizations should also consider adopting these technologies as they mature."
Please Note: Extended description available upon request.
Table of Contents
7 Pages
- Executive Snapshot
- New Market Developments and Dynamics
- Data Gravity — A Definition
- Is Data Gravity Real?
- Why does Data Gravity Matter to Technology Providers?
- Backup and Replication Is a Prime Example
- Primary Storage Snap-and-Replicate Processes Are also Good Examples
- High-Performance Data Processing Is Moving to the Cloud
- Modern Data Concepts such as DataOps and other Data-Driven Strategies Are Growing in Importance
- Just Like Matter, Some Data Is also Dark
- Forces that Complicate Data Gravity Theories
- Skills Culture
- Regulations
- High Demand
- Latency
- Egress Charges
- Conclusion
- Advice for Technology Providers
- Recommendations for Cloud Vendors
- Recommendations for On-Premises Vendors
- Recommendations for Data Management Vendors
- Learn More
- Related Research
- Synopsis
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