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JEUDI 19 NOVEMBRE 2015
Bertrand OUNANIAN: Advisory System Engineer
BIG DATA READY WITH ISILON
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Unstructured Data Growth
Source: IDC
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2013
37 EB
Total Capacity Shipped Worldwide
% of Unstructured Data
67%
74%
80%
2015
71 EB
2017
133 EB
Demand doubles essentially every 2 years
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3
Data of Life Generation
doubles every 2 years
We want to KEEP EVERYTHING
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Silos vs Consolidated Data Lake
4
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NAS
SAN CLOUD
TAPE
DAS
OBJECT
5
NEXT-GEN WORKLOADS TRADITIONAL WORKLOADS
Apps
Backup/Archive
Analytics
Mobile Accessibility
Shares
Cloud Apps
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TAPE
NAS DAS
CLOUD SAN
OBJECT
Isilon Scale-Out Data Lake
6
NEXT-GEN WORKLOADS TRADITIONAL WORKLOADS
Apps
Backup/Archive
Analytics
Mobile Accessibility
Shares
Cloud Apps
NEXT-GEN WORKLOADS TRADITIONAL WORKLOADS
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Isilon Next-Gen Access Methods
FILE
FILE
Apps
Analytics
Cloud Apps
Apps
Backup/Archive
Shares
Mobile Accessibility
One instance of the file
services all dependent
workloads
simultaneously
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Isilon OneFS: Scale-Out Architecture
Single Volume/ File System
Cloud Tiering Ready
Simplicity & Ease of Use
Linear Scalability
Hadoop Enabled
High Performance
8
Unmatched Efficiency
Easy Growth
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EMC Isilon Scale-Out NAS Architecture
Clients and Applications
Object API GET PUT POST DELETE
1 Gig-e 10 Gig-e Network
OneFS Operating Environment
Multi-Protocol Client/Application
Layer Ethernet Layer
Protocols
SMB NFS
FTP HTTP
HDFS for Hadoop
REST for Object
Intra-cluster Communication
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From TeraBytes to Petabytes with a few clicks
•
•
•
System Evolution
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Storage Lifecycle
Reduce Risk
Never Migrate STORAGE EVOLUTION
• Coexistent Generations of Nodes • Push-Button Retire
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Isilon Platform Portfolio
X-SERIES NL-SERIES
High Throughput
Platform
Nearline Storage
Platform
X210
NL410
*Scales from 3 node cluster to 144 node cluster
S-SERIES
High Transactional Platform
S210
X410
HD-SERIES
High Density
Platform
HD400
SSD and SATA 1-4TB (24 TB –20.7 PB)*
SATA 1-6TB (108 TB – 30 PB)*
SSD and SAS (16 TB – 4.15 PB)*
SATA 6TB (1 PB – 50 PB)*
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• Single point of management – Single file system/single volume
– Multiple performance tiers
• Automatic data movement – Policy-based tiering management
– Transparent reallocation
– NO application changes
• Optimize storage resources – Automatically match storage resources
with data requirements
– Eliminate data migration
Optimize Resources with Automated Tiering
Isilon SmartPools
S-Series Performance
NL/HD-Series Active archives
X-Series Collaboration
Reduced cost/TB
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HDFS
SMB, NFS, HTTP, FTP,
HDFS
Node reply Node reply Node reply Node reply
Data
Support Hadoop Distributions
name node
name node
name node
name node
data n
od
e
NFS
SMB
SMB
NFS
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
MAP Reduce
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The Business Data Lake Approach
Analytic Sandbox
Ad Hoc Analytic Environment
Structured BI Reporting Environment
Data Preparation and Enrichment Via Hadoop
Content
ALL data fed into Business Data Lake
EDW ETL
Offload EDW to Hadoop
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Comprehensive Enterprise Software
SnapshotIQ Fast, Efficient Data Backup And Recovery
SyncIQ Fast And Flexible Asynchronous Replication For Disaster
Recovery Protection
SmartConnect Policy-based Client Failover With Load Balancing
SmartLock Policy-based WORM Data Protection
SmartPools Policy-based Automated Tiering
SmartDedupe Data Deduplication to reduce storage requirements and
costs without impacting performance
SmartQuotas Quota Management And Thin Provisioning
InsightIQ Performance Monitoring And Reporting To Manage
Storage Resources
DATA PROTECTION DATA MANAGEMENT
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CONNECTING EDGE TO CORE TO CLOUD
Big Data ready ?
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Recent EMC Isilon Innovations
Leadership in Scale-out nas
2X increase
in performance
2X increase
in capacity
NEW high density
platform
INTRODUCED Data
Lake
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Enterprise Customer Challenges Managing storage at remote locations / branch offices (EDGE)
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Data storage growth
Limited IT resources
Islands of disconnected storage
Inconsistent data protection
Management complexity
Inefficient storage utilization
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PRODUCT FEATURES
Software Defined scale-out NAS with OneFS features
Runs on commodity hardware
Integrated with VMware
Scales to 36 TB and 3-6 nodes
Free & frictionless (non-production, community support)
KEY BENEFITS
Simple, agile and cost efficient platform
Easy to manage with standard VMware tools
Consolidate/distribute data from/to remote locations
Other use cases: test/dev, small-medium businesses
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EMC IsilonSD EDGE
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REMOTE OFFICES (EDGE) DATA CENTER (CORE)
Software Defined Data Lake EDGE to CORE
SyncIQ
Access time
21
• Unified data lake
• Simplicity at scale
• Seamless management
• No complex cloud gateway required
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IsilonSD Edge deployment
… Client 0 App 1 Client 1 App 2 Client N
NFS / SMB/ HTTP / HDFS / Swift / etc. network
IsilonSD
ESXi
SSD
SSD
HD
D
HD
D
HD
D
HD
D
ESXi
SSD
SSD
HD
D
HD
D
HD
D
HD
D
EMPTY FULL CAPACITY EMPTY FULL CAPACITY
ESXi
SSD
SSD
HD
D
HD
D
HD
D
HD
D
CAPACITY EMPTY
ESXi
SSD
SSD
HD
D
HD
D
HD
D
HD
D
EMPTY FULL CAPACITY FULL
22
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IsilonSD edge solves Customer Challenges
Managing storage at remote locations / branch offices (EDGE)
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Scales up to 36TB
Leverage commodity storage
Eliminate islands of storage
Increases data protection
Simplifies management
>80% storage utilization
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Isilon and IsilonSD edge comparison
Isilon IsilonSD Edge
Package Appliance (HW+SW) Software Only
Commodity Hardware
OneFS version Same Same
Protocols / Access Methods
Same Same
Software/Apps Same Same
Size 3 – 144 nodes 18 TB to 50 PB
3 - 6 nodes 4 TB – 36 TB
Support EMC Community, EMC
Management InsightIQ InsightIQ, vCenter
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IsilonSD edge solves Customer Challenges Managing storage at remote locations / branch offices (EDGE)
EXPAND DATA LAKE TO THE EDGE
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EDGE CORE CLOUD
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Enterprise Customer Challenges Optimizing use of the cloud
26
Leverage Cloud TCO
Intelligent integration with cloud
Data security concerns
Choice of cloud providers
Management complexity
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PLATFORM FEATURES
Cloud Enabled Data Lake
Simple to deploy and manage
Encryption and compression
Seamless policy-based data placement
KEY BENEFITS
Multi-cloud choice of vendors
Lower costs and optimize storage resources
Extend data center with cloud-scale capacity
Secure network transmission to the cloud
Transparent to users and applications
EMC ISILON CloudPools C
apac
ity
$/TB
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High Low
HD-Series Deep archive
X-Series Throughput
NL-Series Archive
Cloud Cold archive
S-Series Performance
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S - Series X - Series
NL-Series
Isilon CloudPools
3rd Platform cloud Innovation
HD-Series
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FUTURE
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DATA CENTER
CloudPools
SmartPools Policy Example
<30 days
>30 days
S210
NL410
>2 years Cloud
29
EXPAND DATA LAKE TO THE CLOUD
30 days-1 year
> 1 year HD400
CLOUD PROVIDER
1 year – 2 years
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DATA CENTER
30
CLOUD PROVIDER
APPS & USERS
Access time
CloudPools
CLOUD ENABLE DATA LAKE
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Cloudpools meets Customer Challenges Optimizing use of the cloud
31
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Lower costs and meet performance
Seamlessly integrate with cloud
Secure data transmission with cloud
Flexible choice of cloud providers
Eliminate management complexity
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Enterprise customer challenges Connecting Edge to Core to Cloud
44% of enterprises have 10 - 50 TB per Branch Office
4 - 10% of Remote servers to support data collection for IoT
Massively Scalable Capacity
Reduce Cost
EDGE CORE CLOUD
EXPAND DATA LAKE TO THE EDGE … AND TO THE CLOUD ESG: Remote office / Branch Office technology Trends, May 2015 IDC: “Preparing for the Internet of Things: Assessing the Impact on your data center and edge IT sites”, June 2015
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Si vous avez des questions sur cette présentation, n’hésitez pas à prendre contact directement contact
avec :
Bertrand OUNANIAN [email protected]
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