Three Proven New Ideas That Will Completely Change Your Cost Model for Big Data Storage Mark Seamans FileTek
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1 Three Proven New Ideas That Will Completely Change Your Cost Model for Big Data Storage Mark Seamans FileTek
2 Three Proven New Ideas That Will Completely Change Your Cost Model for Big Data Storage Mark Seamans FileTek
3 The Reality STORAGE
4 The Reality New Documents Active Project Info Database Contents Active Research Movies Under Development Finalized Documents, PPTs, XLS Research Results and Data Genomic Sequence Info Transcoded Media Assets Seismic Information Reference Materials Corporate Records Manufacturing Data Digital Forensic Evidence
5 The Reality
6 The Problem
7 Storage Options and Cost Profiles Wide Variety of Disk Storage Alternatives RAID, JBOD, SAN, NAS, SATA, SAS, SSD, Hybrid, Erasure-based Encoding Tape-based Storage Continues to March On LTO Standard Promises Large Capacity Increases, Higher Reliability, Lower Power Consumption and Very Low Cost Per TB Cloud-based Storage Is an Emerging Option S3 and Similar Amazon Glacier 7
8 Tape-based Storage Considerations Source: Oracle: 2012 Tape Summit 8
9 Tape-based Storage Considerations Source: Oracle: 2012 Tape Summit 9
10 Amazon Glacier Low cost cloud storage targeted at long term retention, infrequent data access, and 4-hour data access time from request to availability 10
11 What is the new way? How do I get there? How much could I save?
12 Simple User Model Rich Analysis & Migration CFO-ready ROI Model
13 Key Concepts Not about picking storage technology but rather about implementing a strategy for managing storage Anticipate the fact that the next big thing in storage technology will always be on the horizon Look for ways to blend technologies to match capabilities to requirements while optimizing cost Provide access to data that is transparent to users 13
14 Intelligent Storage Management
15 Intelligent Storage Management Application Information Access Direct User Information Access Intelligent Storage Management Layer Policy Management Active Validation & Repair CIFS Interface NAS Interface FTP Interface System Mirroring Integrated Backup File Version Management Point-in-Time File Access WORM Tape Support Global Name Space Mgmt. System Health Monitor Soft/Hard Deletes Automated Data Migration File Stubbing & Links Silent Corruption Detection Media Migration Mgmt. MD5 Checksum Collector Retention Onsite/Offsite Data Mgmt. Data Encryption Integrated Backup/Archive Optimized Retrieval based on File Size and Media Audit Trail LTFS Support Capacity Reporting System Alerts Intelligent Buffering Media Consolidation Storage Disk Tape SSD Cloud - Other
16 Dynamic Storage Mix Primary = Disk Backup = Tape STORAGE MIX CLOUD TAPE SAN RAID Primary = Tape Backup = Cloud Archive = Tape (Offsite) 16
17 Analysis to Understand Your Data Utilization by: Creation Date Last Access Date File Size File Type Number of Files More In-Place Analysis Export to Excel or other external apps
18 Analyze Manage
19 Policy Driven Data Migration Migration by: Copy Migrate Synchronize Inclusion and Exclusion Management Intelligent Linking Hash Verification Schedule Management
20 A Complete Approach Analyze Migrate Manage
21 Value Realization Modeler (VRM) Storage Migration ( Active Archive ) Savings Data Mirroring ( Active/Active ) Savings Backup Replacement Savings Environmental/Facility ( Green ) Savings
22 ROI in Action: Carnegie Institute Results of a published case study conducted by the Case Study Forum with the participation of Carnegie Institute Department of Embryology established the following: ROI 781% Payback 3 months Cumulative Net Value - $773,900 Net Present Value - $626,372
23 ROI in Action: Wistar Institute Results of a published case study conducted by the Case Study Forum with the participation of Wistar Institute: ROI 239% Payback 16 months Cumulative Net Value - $670,000 Net Present Value - $490,000
24 A Complete Approach Analyze Migrate Manage Compelling Business ROI Model
25 Summary Big Data breaks many of the old school approaches to storing, backing up and restoring data The exploding requirements for storage are accelerating the pace of change in storage technology Anticipating that change and putting systems & processes in place for understanding and managing your data and its lifecycle are critical 25
26 Conclusion Leading organizations are treating storage evolution and optimization as a core competence and part of the process rather than having it be long series of disjointed IT projects. The results: A smoother process for IT, A seamless experience for users, and The lowest possible cost for the organization 26
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