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Big Data Case Study:
Fortune 100 Media / Telco Company
Fortune 100 Media / Telco Company
Business Goal
• Big Data analytics to improve customer experience
• Provide daily insights to internal and external teams
• Sandbox environment to support ad-hoc analysis
• Isolated environments for external content providers
Key Challenges
• Limited IT resources and skill sets in Hadoop and Spark
• Administrative overhead managing existing Big Data environments
• Onboarding multiple internal and external user groups
Big Data Case Study Example
MANAGEMENT
COMPLEXITY
DUPLICATION
OF DATA
CLUSTER
SPRAWL
< 30% UTILIZATION
IT
Fortune 100 Media / Telco Company
Big Data Infrastructure = Complex and Expensive
External Content
Provider
External Content
Provider
Other Internal
Teams
Data Scientists and
Developers
Going Forward: Two Options Considered
Expand on-premises Hadoop infrastructure
• Ongoing management of physical servers
• Multi-tenancy required for external providers
• Significant IT overhead
Fortune 100 Media / Telco Company
Move to AWS Elastic MapReduce
• Hadoop-as-a-Service offers simplicity and agility
• Internal security policies are barrier
• Ongoing TCO of AWS cloud services
• Data is on-premises, difficult to copy or move
Physical
Data
Copy
Hadoop Cluster
(~ 15 nodes)
(Converted to Production from Pilot)
New Physical Nodes ($$)
To increase performance & capacity
Hue Console
(Hadoop jobs)
Marketing
External Content Provider
Advanced administration
Groups/queues/schedulers
BI Tool(s)
Custom Web App ($$)
(Security, access control & onboarding)
New Physical Nodes ($)
For BI/ETL tools
User administration (AD/LDAP) User administration (AD/LDAP)
Utilization < 20%
NFS Database Other
Physical Data Copy/Duplication
Sales Support
Data
Scientists
Developers
Dev/Test Cluster
New Physical Nodes
($)
BigDataApplications
&Users
BigData
Infrastructure
Existing
DataFortune 100 Media / Telco Company
Option 1: Expand On-Premises Infrastructure
External Content Provider
A third option: Hadoop-as-a-Service on-premises
• Infrastructure software platform (BlueData) for Hadoop and Spark
Self-service, on-demand virtual clusters
• Amazon EMR-like experience
• Agility and speed for data scientists
• IT infrastructure efficiency, higher utilization
Secure and multi-tenant architecture
• Eliminate complexities and pitfalls of multiple isolated physical clusters
• Stronger isolation and greater flexibility, no data duplication
Solution and Benefits
Fortune 100 Media / Telco Company
Hadoop Cluster
(~ 15 nodes)
(Converted to Production from Pilot)
New Physical Nodes ($)
Performance optimized (CPU & Memory)
Data Scientists
and Developers
Web UI – multi-tenant, role-based access control
User administration (AD/LDAP)
EPIC Platform ($)
Content Provider
Tenant 3
VIRTUAL HADOOP CLUSTER
HUE CONSOLE + BI TOOLS
Content Provider
Tenant 2
VIRTUAL HADOOP CLUSTER
HUE CONSOLE + BI TOOLS
Internal Team
Tenant 1
VIRTUAL HADOOP CLUSTER
HUE CONSOLE + BI TOOLS
In-place access
Other Internal
Teams
NS Gluster Other
BigDataApplications
&Users
BigData
Infrastructure
Existing
DataFortune 100 Media / Telco Company
Option 3: Deploy BlueData EPIC Software Platform
External Content
Provider
External Content
Provider
Multi-Tenant, Virtualized Infrastructure
Access to Data in Existing Storage Systems
Out-of-the-box Hadoop and Spark Support
• Significantly lower costs (~70%) – less hardware
required for dev/test cluster and BI / analytical tools
• Reduced administrative overhead – simpler user
management and administration, elminated data copying
• Speed and self-service – on-demand provisioning of
virtual Hadoop and Spark clusters
• Higher utilization – consolidation ratio of 8:1 between
virtual and physical servers
Fortune 100 Media / Telco Company
Big Data Case Study – Example Benefits
GLUSTER HDFS SWIFT NFS
Utilization > 90%
Simplified
management
No duplication of
data
No cluster
sprawl
ElasticPlane TM : Self-service, multi-tenant clusters
DataTap TM : In-place access to enterprise data stores
IOBoost TM : Extreme performance and scalability
EPIC Platform
Fortune 100 Media / Telco Company
Big Data Infrastructure Made Easy
External Content
Provider
External Content
Provider
Other Internal
Teams
Data Scientists and
Developers
Learn more at:
www.bluedata.com

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Big Data Case Study: Fortune 100 Telco

  • 1. Big Data Case Study: Fortune 100 Media / Telco Company
  • 2. Fortune 100 Media / Telco Company Business Goal • Big Data analytics to improve customer experience • Provide daily insights to internal and external teams • Sandbox environment to support ad-hoc analysis • Isolated environments for external content providers Key Challenges • Limited IT resources and skill sets in Hadoop and Spark • Administrative overhead managing existing Big Data environments • Onboarding multiple internal and external user groups Big Data Case Study Example
  • 3. MANAGEMENT COMPLEXITY DUPLICATION OF DATA CLUSTER SPRAWL < 30% UTILIZATION IT Fortune 100 Media / Telco Company Big Data Infrastructure = Complex and Expensive External Content Provider External Content Provider Other Internal Teams Data Scientists and Developers
  • 4. Going Forward: Two Options Considered Expand on-premises Hadoop infrastructure • Ongoing management of physical servers • Multi-tenancy required for external providers • Significant IT overhead Fortune 100 Media / Telco Company Move to AWS Elastic MapReduce • Hadoop-as-a-Service offers simplicity and agility • Internal security policies are barrier • Ongoing TCO of AWS cloud services • Data is on-premises, difficult to copy or move
  • 5. Physical Data Copy Hadoop Cluster (~ 15 nodes) (Converted to Production from Pilot) New Physical Nodes ($$) To increase performance & capacity Hue Console (Hadoop jobs) Marketing External Content Provider Advanced administration Groups/queues/schedulers BI Tool(s) Custom Web App ($$) (Security, access control & onboarding) New Physical Nodes ($) For BI/ETL tools User administration (AD/LDAP) User administration (AD/LDAP) Utilization < 20% NFS Database Other Physical Data Copy/Duplication Sales Support Data Scientists Developers Dev/Test Cluster New Physical Nodes ($) BigDataApplications &Users BigData Infrastructure Existing DataFortune 100 Media / Telco Company Option 1: Expand On-Premises Infrastructure External Content Provider
  • 6. A third option: Hadoop-as-a-Service on-premises • Infrastructure software platform (BlueData) for Hadoop and Spark Self-service, on-demand virtual clusters • Amazon EMR-like experience • Agility and speed for data scientists • IT infrastructure efficiency, higher utilization Secure and multi-tenant architecture • Eliminate complexities and pitfalls of multiple isolated physical clusters • Stronger isolation and greater flexibility, no data duplication Solution and Benefits Fortune 100 Media / Telco Company
  • 7. Hadoop Cluster (~ 15 nodes) (Converted to Production from Pilot) New Physical Nodes ($) Performance optimized (CPU & Memory) Data Scientists and Developers Web UI – multi-tenant, role-based access control User administration (AD/LDAP) EPIC Platform ($) Content Provider Tenant 3 VIRTUAL HADOOP CLUSTER HUE CONSOLE + BI TOOLS Content Provider Tenant 2 VIRTUAL HADOOP CLUSTER HUE CONSOLE + BI TOOLS Internal Team Tenant 1 VIRTUAL HADOOP CLUSTER HUE CONSOLE + BI TOOLS In-place access Other Internal Teams NS Gluster Other BigDataApplications &Users BigData Infrastructure Existing DataFortune 100 Media / Telco Company Option 3: Deploy BlueData EPIC Software Platform External Content Provider External Content Provider
  • 9. Access to Data in Existing Storage Systems
  • 10. Out-of-the-box Hadoop and Spark Support
  • 11. • Significantly lower costs (~70%) – less hardware required for dev/test cluster and BI / analytical tools • Reduced administrative overhead – simpler user management and administration, elminated data copying • Speed and self-service – on-demand provisioning of virtual Hadoop and Spark clusters • Higher utilization – consolidation ratio of 8:1 between virtual and physical servers Fortune 100 Media / Telco Company Big Data Case Study – Example Benefits
  • 12. GLUSTER HDFS SWIFT NFS Utilization > 90% Simplified management No duplication of data No cluster sprawl ElasticPlane TM : Self-service, multi-tenant clusters DataTap TM : In-place access to enterprise data stores IOBoost TM : Extreme performance and scalability EPIC Platform Fortune 100 Media / Telco Company Big Data Infrastructure Made Easy External Content Provider External Content Provider Other Internal Teams Data Scientists and Developers