HPC parallel file systems, enterprise NAS, and global namespaces are all well-understood and mature technologies. Historically, each operated independently; the data within each of them was siloed and difficult to unify and move.
Having an IT architecture that supported both high performance and data sets from different storage silos was typically an “either/or” decision: you were forced to choose one but never both.
Unstructured data orchestration is the technology solution needed to bring data sets and data technologies together across different vendor storage silos and geographic locations, without sacrificing performance for uninterrupted and secure global data use. This is why we developed our new eBook Unstructured Data Orchestration For Dummies, Hammerspace Special Edition.
Defining Data Orchestration
The recent rise of data analytic applications and AI capabilities has accelerated the use of data across different locations and even different organizations. In the next data cycle, organizations will need both high-performance and agility with their data to compete and thrive in a competitive environment.
Data orchestration is the automated process of taking siloed data from multiple data storage systems and locations, combining and organizing it into a single namespace and high-performance file system that can place data in the edge service, data center or cloud service most optimal for the workload.
Data no longer has a 1:1 relationship with the applications and compute environment which generated it. It needs to be used, analyzed, and repurposed with different AI models, alternate workloads, and across a remote, collaborative environment. Hammerspace’s technology makes data available to different foundational models, remote applications, decentralized compute clusters, and remote workers to automate and streamline data-driven development programs, data insights, and business decision-making.
Hammerspace enables users to take full advantage of the performance capabilities of any server, storage system and network anywhere in the world. This allows organizations to easily store, protect, and operate on data by automatically moving it to the best location by policy or on demand, to access compute resources, take advantage of the lowest cost infrastructure, and make files locally available to distributed workforces.
This capability enables a unified, fast, and efficient global data environment for the entire workflow, from data creation to processing, collaboration, and archiving across edge devices, data centers, and public and private clouds.
Control of enterprise data services for governance, security, data protection, and compliance can now be implemented globally at a file-granular level across all storage types and locations. Applications and AI models can access data stored in remote locations while using automated orchestration tools to provide high-performance local access when needed for processing. Organizations can grow their talent pools with access to team members no matter where they reside.
In an orchestrated data environment, control of data services can now be implemented globally at a file-granular level across all storage types and locations.
Powerful Performance Key to Enabling a Global Data Environment
Hammerspace completely revolutionizes previously held notions of how unstructured data architectures should be designed , delivering the performance needed across distributed environments to free workloads from data silos, eliminate copy proliferation, and provide direct data access through local metadata to applications and users, no matter where the data is stored.
Our technology allows organizations to take full advantage of the performance capabilities of any server, storage system and network anywhere in the world. This capability enables a unified, fast, and efficient global data environment for the entire workflow, from data creation to processing, collaboration, and archiving across edge devices, data centers, and public and private clouds.
Hammerspace supports a wide range of high-performance storage platforms that organizations have in place today. It does this while providing the performance of a parallel file system coupled with the ease of standards-based global NAS connectivity and out-of-band metadata updates.
The days of enterprises struggling with a siloed, distributed and inefficient data environment are over. It’s time to start expecting more from their data architectures with automated data orchestration.
Download the new eBook, Unstructured Data Orchestration For Dummies, Hammerspace Special Edition