How enterprises can bolster management of their data environments

Data Dynamics insists on the necessity of a global rich platform for enterprise data environments, allowing for a better understanding of their assets

The explosion of unstructured data continues to generate serious impact and complications for enterprises’ business. Data is created everywhere, even at remote sites, creating data silos and exposing companies to risks with difficulties to provide visibility and governance, thus increasing costs drastically.

To address these growing IT challenges, enterprises must consider a multi-step solution. The first one is represented by analytics to understand the data environment with an efficient file discovery phase. It helps to learn access information and patterns for all this data. Immediately connected to this first solution iteration, Data Dynamics provides security and compliance functions to enhance file access control, and finally offers a data movement capability to augment data redundancy, optimise data placement with file migration to low cost object storage or public cloud.

The company presented the management of data environments that it facilitates for enterprise customers during the most recent IT Press Tour edition in Silicon Valley.

All functions delivered by Data Dynamics are integrated into a platform model with 3 products: Insight AnalytiX, ControlX and StorageX — the latter being a well-established file management product on the market.

Outcomes are visible for users through drastic TCO reduction, with data moved to object storage from file servers and NAS; storage only of active data to primary storage; detection of sensitive file data; and improvement of data governance with classification with tagging and removal of duplicates.

Source: Data Dynamics

The team has also agreed a partnership with Microsoft to offer a file migration solution from on-premises file environment to Azure, supporting Azure Blob, Azure Files and Azure NetApp Files, confirming the unique role of Data Dynamics on the market.

Next developments will add machine learning to data classification, and move into DataOps to reach a new level of data democracy.


Best practices for modern enterprise data architecture — Dietmar Rietsch, CEO of Pimcore, identifies best practices for organisations to consider when managing modern enterprise data architecture.

What is stopping data teams from realising the full potential of their data? — Chris D’Agostino, global principal technologist at Databricks, explores what’s holding data teams back from realising the full potential of their data.

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Aaron Hurst

Aaron Hurst is Information Age's senior reporter, providing news and features around the hottest trends across the tech industry.

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