The document discusses the challenges of managing exponential data growth. Key points include: - Customers must manage both data and infrastructure as data becomes more dispersed across locations. - Rapid growth of unstructured data from mobility, social media, big data, and cloud adoption is driving needs for flexible infrastructure and optimization. - Factors like data growth, virtualization, and aggressive recovery objectives are increasing use of disk storage and replication technologies.

1. The Challenges of Managing and
Protecting Expodential Data Growth
Robert Amatruda, Research Director Data
Protection and Recovery

2. The Challenges of Managing and
Protecting Expodential Data Growth
 Customers increasingly managing not just information but
infrastructure
 Increasingly, geo-dispersed data drive the need for flexible
and agile infrastructure
 Rapid unstructured data growth as a result of
mobility, social media, big data and cloud adoption
 Data growth, virtualization, optimization and edge protection
coupled with more aggressive RTO/RPO’s driving more use
of disk and replication
© IDC Visit us at IDC.com and follow us on Twitter: @IDC
2

3. Explosion of Devices and Management
Challenges in the Datacenter
Data centers are the cornerstone of business…
…managing both infrastructure and information.

4. The Evolving Data Landscape
App
Data
User
Data
Ever-growing data sets require
dispersed data management
 Workloads need to run where the
data is located
 Geo-dispersed data sets require
geo-dispersed workloads
Mobile
Data
Decentralized
data stores
 Workloads are gaining location
awareness
 Social media, big data and cloud
usage is generating more
unstructured data
 Machines generating more semistructured
IDC Confidential
4

5. Unstructured Data is Growing Rapidly
 Implications of Unstructured Data
growth:
 Drives the need for capacity
optimized systems that house
unstructured data
 Unstructured data can be
stored/accessed via onpremises or cloud-based
delivery models
 Object-based storage platforms
also power the cloud storage-as-aservice solutions
140
120
100
80
60
40
20
0
2009
2010
2011
2012
2013
2014
2015
2016
2017
Capacity Optimized (shipped PB)
Performance Optimized (shipped PB)
• UNSTRUCTURED DATA accounts for
70-80% of storage capacity growth
• Capacity-optimized storage
spending growth has 16.2% CAGR
5

6. Top Unstructured Data Use-Cases
How is your organizations’ file-based data split amongst these following types of
files?
File and print services or network
shares
31%
Virtual server or desktop images
14%
Back up/Recovery
19%
CAD/Images (pictures, X-rays,
records)
8%
Video/audio (surveillance, training,
entertainment)
7%
Archive
16%
Big Data (Hadoop Clusters)
5%
Others
1%
0%
10%
2013
20%
% of respondents
2012
30%
40%
N=150
© IDC Visit us at IDC.com and follow us on Twitter: @IDC
6

7. Changes in the Protection and Recovery
Landscape
Today …
In the Past …







Backup
Back-office
Structured
Datacenter
Data only
100’s of GB
Initial SANs
Performance







In the Future …
+ Options
C-level focus
+ Unstructured
+ Edge
Data and images
Multi-TBs
Multi-approach







Physical
Virtual
Consolidation
 What’s driven these changes?
Cloud
as-a-Service
++ Objects
++ Endpoints
Convergence
Petabytes
Reuse freedom
Unified Mgmt
7

8. Factors that have Driven Transformation
Backup
Replica
DR
1. Virtualization  Images and Data
2. Cloud Era  Storage to/from the Cloud
vBackup
Snaps
Archive
3. Data Growth  B2D, Storage Efficiency
4. Recovery  Snaps, Replicated Backup
5. Better Retrieval  Items, indexing
Disk as a
Transformative
Technology
8

9. Factors that will Drive Transformation
1. Control v. Data Movement 
Technology Integration
Unified Data
Management
2. Copy Data reuse  Native format
Backup
Replica
DR
3. Role of Flash/SSD  Performance
Search
Snaps
Archive
4. Scale out Storage Architectures 
Consolidation
5. Image mobility  Recovery to/in the
Cloud
9

10. Questions
Robert Amatruda
ramatruda@idc.com
10

11. Spectra Logic
Next Generation Technologies

12. What did we just hear from IDC?
• Unstructured data drives 70-80% of storage growth
– Unstructured Data = Files… lots of them!
• What’s driving it?
– Virtualization
– Backup/Recovery/Archive
– Big Data
– Video/audio
• And this trend will continue into the future

13. nTier Verde –
Simply Affordable File Storage
• No previous storage experience required
• Half the cost of traditional file storage
• Never lose data

14. No previous storage experience required
• From power on to production in 10 minutes
– Simple user interface
– Minimal formatting of disks required
• Monitoring/reporting
– Visual Status Beacon
– Automatic alerts
– Call home

15. Half the cost of traditional file storage
• Enterprise capacity storage for the cost of JBOD
• Install it yourself
• PriceLock for support pricing
• Compression
Subsystem Category
$ / GB
Solid State Disk (DRAM)
$400 - $1000
Flash
< $50
Enterprise Disk Subsystem
$5 - $16
Midrange Disk Subsystem
$1 - $6
Economy Disk Subsystem
< $.50
Automated Tape Library
$.05 - $1
Source: Horison, Inc.

16. Never lose data
• Hardware
– Enterprise-class, capacity drives
– Burn-in at our factory to eliminate “infant mortality” of
components
– Redundant power/fans
• Software
– Triple parity option for RAID
– No RAID write hole issue
– Intelligent rebuilds

17. nTier Verde
nTier Verde 2U
Supported Hard Drives
nTier Verde 4U
4 TB 7200 RPM SAS Hard Drives
Master Node Capacity*
6 to 11 Drives
24 TB to 44 TB RAW
10 to 35 Drives
40 TB to 140 TB RAW
Expansion Node Support
1 Expansion Node
9 Expansion Nodes
Max Capacity*
220 TB RAW Max
1.7 PB RAW Max
Parity Options
Mirroring, Single Parity, Double Parity, Triple Parity
Double Parity recommended for most use cases
Hot Spares
Unlimited
Supported Protocols
NFS, CIFS
3 x 1 GigE Data Ports
Standard
Standard
2 x 10 GigE Data Ports
Optional
Standard
* Using 4 TB drives

18. Store massive data forever at virtually no cost
• Absolute lowest cost way to store data
• Easiest way to move bulk data
• Most scalable long-term storage available

19. Absolute Lowest Cost Way to Store Data
Spectra BlackPearl plus
T950 with TS1140 drives
Spectra BlackPearl plus
T950 with LTO drives
Spectra BlackPearl plus
T380 with LTO drives
6.4 PB uncompressed
2.4 PB uncompressed
1.9 PB uncompressed

20. Easiest Way to Move Bulk Data
Spectra’s DS3 interface makes it possible
• Industry first interface to tape via a web browser
• RESTful (the way the web works)
• Modeled after Amazon S3
FC
SAS
10 GigE
Client
Software
Standard
Object
Interface
Inside BlackPearl:
 SSD
 Object tracking
 Tape Library
Management
 LTFS
 Data Integrity
Verification
 Data Security
 Integration
with BlueScale
Objects
to
Deep
Storage

21. Most scalable long-term storage available
• LTFS for standard reading/writing
• Scale from TB to Exabytes
• Keep data forever w/ media migration

22. Questions?