K
Kathleen Martin
Guest
With the sheer volume of unstructured data yet to be created and used in the years ahead, it’s safe to say that the way organizations manage their data will need to evolve.
IDC’s Research VP of Infrastructure Systems, Platforms and Technologies Group Eric Burgener authored an IDC Analyst Brief.
In the analyst brief, Burgener urges organizations to implement a comprehensive data management strategy to confront this increasing influx of data, noting that a data mobility engine provides the foundation for an effective data management strategy and can drive significant benefits for the hybrid multicloud enterprise.
“A good [data management] strategy takes into account not only the heterogeneity of storage in most enterprises, but also a number of other areas, including on-and off-premises deployment models, application availability, data integrity, security, compliance and regulatory needs, efficient resource utilization and the fact that more than 80% of the data created over the next five years will be unstructured (i.e., file and object-based),” writes Burgener.
Five main components of an effective data mobility engine
1. Vendor-neutral interoperability
The data mobility engine must focus on data, not systems, and be able to move data between different types of systems as well as cloud targets. Both file (NFS, SMB) and object (S3) access methods should be supported, preferably in a multiprotocol manner to support efficient capacity utilization when data must be shared across different types of applications.
2. Insights and intelligence
The data mobility engine must provide visibility into data metrics, access patterns, and usage activities that can provide the basis for classification, and this visibility must be comprehensive. It should also include AI-driven intelligence that can analyze these metrics to make policy recommendations that drive an effective data management strategy around storage location, data protection, security, compliance, migration and, ultimately, storage cost reduction. With more complete metrics, data residency can be managed to ensure that data is kept in the “best” location (given corporate objectives) and obsolete data is identified and deleted.
Continue reading: https://www.helpnetsecurity.com/2022/03/11/effective-data-management-strategy/
IDC’s Research VP of Infrastructure Systems, Platforms and Technologies Group Eric Burgener authored an IDC Analyst Brief.
In the analyst brief, Burgener urges organizations to implement a comprehensive data management strategy to confront this increasing influx of data, noting that a data mobility engine provides the foundation for an effective data management strategy and can drive significant benefits for the hybrid multicloud enterprise.
“A good [data management] strategy takes into account not only the heterogeneity of storage in most enterprises, but also a number of other areas, including on-and off-premises deployment models, application availability, data integrity, security, compliance and regulatory needs, efficient resource utilization and the fact that more than 80% of the data created over the next five years will be unstructured (i.e., file and object-based),” writes Burgener.
Five main components of an effective data mobility engine
1. Vendor-neutral interoperability
The data mobility engine must focus on data, not systems, and be able to move data between different types of systems as well as cloud targets. Both file (NFS, SMB) and object (S3) access methods should be supported, preferably in a multiprotocol manner to support efficient capacity utilization when data must be shared across different types of applications.
2. Insights and intelligence
The data mobility engine must provide visibility into data metrics, access patterns, and usage activities that can provide the basis for classification, and this visibility must be comprehensive. It should also include AI-driven intelligence that can analyze these metrics to make policy recommendations that drive an effective data management strategy around storage location, data protection, security, compliance, migration and, ultimately, storage cost reduction. With more complete metrics, data residency can be managed to ensure that data is kept in the “best” location (given corporate objectives) and obsolete data is identified and deleted.
Continue reading: https://www.helpnetsecurity.com/2022/03/11/effective-data-management-strategy/
