Episode
Storageless data, really? - Doug Fallstrom - Ep156
- Podcast
- Tech Interviews
- Published
- Mar 25, 2021
- Duration seconds
- 2166
- Processing state
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Summary
Modern enterprises must shift from managing storage infrastructure to managing data as a portable, accessible asset. This discussion explores the 'storageless' concept, where data utility is decoupled from the underlying physical or cloud-based storage layers.
Topics
- Data-centric architecture
- Cloud storage
- Data mobility
- Infrastructure abstraction
- Enterprise IT strategy
- Hammerspace
- Data management
- Serverless data
Highlights
- Main idea: Transitioning from managing storage arrays to managing data accessibility and utility
- Practical takeaway: Start small by applying new data-centric workflows to existing projects rather than attempting a total infrastructure overhaul
- Failure mode: Focusing on hardware capacity and cost-per-GB instead of the actual value and accessibility of the data itself
- Strategic approach: Bridge the gap between IT infrastructure teams and data consumers to identify unmet data needs
- Technical goal: Achieve a 'serverless' equivalent for data, where location and vendor are abstracted away from the user
Chapters
1:00The Storageless Thesis: Introduction to the concept of decoupling data from specific storage vendors and the importance of data-centric design.3:40The Scale Challenge: Discussing how massive data volumes necessitate a shift where the data itself dictates the required computing context.6:10Abstracting the Vendor: Exploring the shift in thinking required to treat data as an independent layer from the underlying hardware.9:00Prioritizing Value Over Capacity: Why increasing storage capacity and reducing costs are secondary to unlocking the actual business value within the data.11:40The Need for Data Mobility: How modern work environments require data to be accessible without being tethered to specific geographic or platform constraints.14:30Unlocking Creativity via Portability: How making data portable across clouds and storage tiers enables new analytical capabilities and innovation.17:10Strategies for Implementation: Advice on starting with small, non-disruptive projects to identify gaps in data utility and process.