A NEW PLATFORM FOR A NEW ERA
The Pivotal
Big Data Suite
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Pivotal’s Full Approach
It’s More Than Just Hadoop
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How Pivotal Accelerates
Value Creation
First
Movers
~7X
$290B
~30X$4
B
~20X
$120B
~20X
$2.9B
SOLVE THE BIG DATA UTILITY GAP
70% of data
generated by
customers
80% of data
being stored
3% being
0.5% being
<0.5% being
prepared for
analyzed
operationalized
analysis
Average Enterprises
Smart
Enterprises
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The Journey to Technology Leadership
PDL Data
Architecture
PDL Data
Science
Pivotal Labs
Agile
Pivotal CF
Services
COLLECT
ANALYZE
DEVELOP
INNOVATE
Store everything
Generate Insights
Operationalize
Iterate Rapidly
Business Data
Lake
Big Data
Analytics
Data-Driven
Applications
Agile
Enterprise
Enterprise PaaS
Agile Development
Predictive Analytics
Big Data
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Data Driven: Harder than it Sounds
Real Time
Analytical
Transactional
Operationalize
Batch
Near Real Time
Analytical
Transactional
Operationalize
Analytical
Transactional
Operationalize
Ingest
Interface
Ingest
Interface
Ingest
Interface
Distill
Process
Distill
Process
Distill
Process
Predictive Call Routing, Fraud
Prediction, Dynamic Pricing,
Re-Marketing, Stream Analytics
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Analytic Model Designs, Transaction
Analysis, Trend Analysis
ETL, Archive, Trending, Monthly and
Weekly Jobs
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Data Driven: Impossible in Silos
Data Growth Over 60%
Floods These Silos
Finance
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Manufacturing
Marketing
IT
7
Pivotal Business Data Lake Architecture
Unified Sources
Centralized Management
System monitoring
Real-time
ingestion
System management
Unified Data Management Tier
Data mgmt.
services
Flexible Actions
MDM
RDM
Audit and
policy mgmt.
Real-time
insights
Workflow Management
Micro batch
ingestion
Processing Tier
Interactive
insights
In-memory
MPP database
Batch
ingestion
Distillation Tier
Batch
insights
HDFS storage
Unstructured and structured data
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The Scenario Yesterday…
Application Type
Pivotal Component
Pricing Metric
Data storage:
tiered
terabytes
1
Database
Greenplum DB
2
Hadoop Distributed File System
Pivotal HD
Nodes
3
Parallel Query Engine
HAWQ
Nodes
4
In-Memory Data Grid
GemFire
CPUs and Add Ons
with restrictions
5
In-Memory Data Grid for Hadoop
GemFire XD
CPU
6
In-Memory Data Grid with SQL
Layer
SQLFire
CPUs and Add Ons
with restrictions
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The Scenario Today…
Application Type
Pivotal Component
1
Database
Greenplum DB
2
Hadoop Distributed File System
Pivotal HD
Pricing Metric:
SKU
HAWQ
3
Parallel Query Engine
4
In-Memory Data Grid
GemFire
5
In-Memory Data Grid for Hadoop
GemFire XD
6
In-Memory Data Grid with SQL
Layer
SQLFire
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Unit of
Measure
Price
10
World’s Leading Experts
Pivotal Labs – Pivotal Data Labs
REAL-TIME
GemFire | SQLFire
GemFire XD
REAL-TIME
INTERACTIVE
Greenplum DB
HAWQ
INTERACTIVE
BATCH
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Unlimited Pivotal HD
BATCH
11
Customer Centric Model
Subscription
Based
Software
Only
Customer
Incentives
Core
Based
Flexible
Licensing
UNLIMITED PIVOTAL HD INCLUDED
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How Does this Work in Practice?
Store
Everything
Analyze
Anything
• Obsessively collect
data
• Cleanse, organize, and
manage your data lake
• Keep it forever
• Make the right tools
available
• Put the data in
one place
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Build the
Right Thing
• Use insights to
iteratively improve
your product
• Use the resources wisely
to compute, analyze,
and understand data
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 Store Everything
 Analyze Anything
 Build the Right Thing
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A NEW PLATFORM FOR A NEW ERA