What is DFR or Data Footprint Reduction?

What is DFR or Data Footprint Reduction?

Updated 10/9/2018

What is DFR or Data Footprint Reduction?

Data Footprint Reduction (DFR) is a collection of techniques, technologies, tools and best practices that are used to address data growth management challenges. Dedupe is currently the industry darling for DFR particularly in the scope or context of backup or other repetitive data.

However DFR expands the scope of expanding data footprints and their impact to cover primary, secondary along with offline data that ranges from high performance to inactive high capacity.

Consequently the focus of DFR is not just on reduction ratios, its also about meeting time or performance rates and data protection windows.

This means DFR is about using the right tool for the task at hand to effectively meet business needs, and cost objectives while meeting service requirements across all applications.

Examples of DFR technologies include Archiving, Compression, Dedupe, Data Management and Thin Provisioning among others.

Read more about DFR in Part I and Part II of a two part series found here and here.

Where to learn more

Learn more about data footprint reducton (DFR), data footprint overhead and related topics via the following links:

• Next Generation Hybrid Software Defined Data Infrastructures Are In Your Future #blogtobertech
• Data Footprint Reduction – Software Defined Data Infrastructure Essentials
• PACE your Server Storage I/O decision making, its about application requirements
• Announcing Software Defined Data Infrastructure Essentials Book by Greg Schulz
• July 2018 Server StorageIO Data Infrastructure Update Newsletter
• Pictures Over Stillwater Drone Pro Shop and Resource Links
• 2018 Hot Popular New Trending Data Infrastructure Vendors to Watch
• Part 1 – Application Data Value Characteristics Everything Is Not The Same
• Part 2 – 4 3 2 1 Data Protection Application Data Availability
• Part 3 – Application Data Characteristics Types Everything Is Not The Same
• Part 4 – Application Data Volume Velocity Variety Everything Is Not The Same
• Part 5 – Application Data Access Life cycle Patterns Everything Not The Same
• Data Infrastructure server storage I/O network Recommended Reading
• World Backup Day 2018 Data Protection Readiness Reminder
• Data Infrastructure Server Storage I/O related Tradecraft Overview
• Data Infrastructure Server Storage I/O Tradecraft Trends
• Data Infrastructure Overview, Its What’s Inside of Data Centers
• 4 3 2 1 and 3 2 1 data protection best practices
• Garbage data in, garbage information out, big data or big garbage?
• GDPR (General Data Protection Regulation) Resources Are You Ready?
• Which Enterprise HDD to use for a Content Server Platform
• The SSD Place (SSD, NVM, PM, SCM, Flash, NVMe, 3D XPoint, MRAM and related topics)
• The NVMe Place (NVMe related topics, trends, tools, technologies, tip resources)
• Data Protection Diaries (Archive, Backup/Restore, BC, BR, DR, HA,Replication, Security)
• If NVMe is the answer, what are the questions?
• NVMe Primer (or refresh), The NVMe Place, The SSD Place, and the Object Storage Center

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

What this all means

That is all for now, hope you find these ongoing series of current or emerging Industry Trends and Perspectives posts of interest.

Ok, nuff said, for now.

Cheers Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2018. Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

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