There is a wide gap between storing data and making it useful, and it is getting worse with the growing volume of unstructured data. In this episode of On-Premise IT Podcast presented to you by Hammerspace, delegates Justin Warren and Chris Evans get together with Hammerspace’s Head of Global Marketing, Molly Presley, to drill into the pains of managing unstructured data, and learn how Hammperspace addresses them with data orchestration. Data orchestration takes the one-dimensional approach of storing data, to the next level that is cleaning, organizing, enriching and making data accessible across systems. It makes it possible to move large volumes of data across distances. Not bound by any one data or infrastructure type, data orchestration helps businesses handle new kinds of complex data and keep up with their changing uses.

On-Premises for Today’s Spotlight Podcast:

Panelists

Justin Warren

Chris Evans

Twitter

@JPWarren

@ChrisMEvans

Hammerspace Panelist:

Molly Presley, Head of Global Marketing at Hammerspace. Connect with Molly on LinkedIn or learn more on the Hammerspace website.

Moderator

Stephen Foskett

Twitter

@SFoskett

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Key Points

Data orchestration involves the movement and utilization of data regardless of its location or format. The challenges posed by unstructured data and the rise of edge computing have emphasized the need for efficient data orchestration solutions. Over the past two decades, the transition has shifted from structured to unstructured data, requiring complex workflows and interconnections between different data types. Unstructured data, such as genomics data, microscopy data, and multimedia data, necessitates effective data orchestration for proper management and utilization.

Technology advancements have enabled the decoupling of metadata from individual storage systems, allowing for distributed orchestration and flexibility in leveraging unstructured data. The focus is now on leveraging technology to enable desired actions with data, rather than being constrained by traditional tools. The shift towards NoSQL databases and data lakes reflects the need to make both structured and unstructured data useful and break free from tool limitations. Efficient data orchestration enhances workflows by facilitating data transformations, metadata application, collaboration, archival, retrieval, and interaction, while allowing for flexibility in storage systems and applications.