Building a Modern Data Management Strategy

1. Summary

Data growth is no longer a novelty, and both IT and business organizations are finally beginning to think about all this data as a resource and not a liability.

Enterprises are now aware that both human- and machine-generated data can be refined, transformed, and reused. To take full advantage of it, making it accessible to the business owners, and creating the right strategy around it, there is a strong requirement for next-generation infrastructures that can grant efficiency and flexibility at a fraction of public cloud cost. In fact, the public cloud is the solution with the best flexibility at the moment, but its cost can be high and unpredictable making it hard to build a cloud-only long-term data strategy. At the same time, the number of options for different public clouds is quickly increasing, each one of them with different characteristics, increasing competition, and the need to move data closer to compute resources and applications. Hybrid and multi-cloud infrastructures are becoming more and more relevant for these reasons.

Users want the flexibility of the cloud, and they want to combine it with the cost of on-premises infrastructures while keeping more control over their data. In this scenario keeping better visibility and control over data is the key to success.

Data is now migrated more often than in the past, not only for system upgrades but also for moving it closer to where it is required, for consolidating it, or for compliance reasons. In addition, IT organizations need to know more about their data in order to:

• protect it better and against malicious activities,
• place it in the right location depending on its real value and regulations, and
• understand critical aspects of it, such as aging, level of protection, and so on, in order to optimize cost and security policies.

In this journey towards a modern data management strategy, users should embrace solutions that can deliver a solid foundation for day-to-day operations today while providing a clear path to next-generation features that will be adopted when the organization and the business are ready.

Datadobi has been delivering this foundation for years now. The company has matured a strong understanding of large enterprise storage infrastructures and their unstructured data needs. After years of successful data migrations, the company has now started to expand its product portfolio with additional features to respond adequately to new demanding needs in terms of unstructured data management. The goal is simple yet compelling: provide a complete set of tools that will help users address today’s and tomorrow’s infrastructure-driven, data management challenges.