Greenplum: Driving the future of Data Warehousing and Analytics

Greenplum:Greenplum: Driving the Future of Data Warehousing and AnalyticsLuke Lonergan, cofounder and CTOGreenplum SoftwareNovember 19, 2009November 19, 2009

111/25/2009 Confidential

Greenplum: What We DoGreenplum: What We Do

We make a high-end

MPP DatabaseMPP DatabaseArchitected and optimized for p

data warehousing and analytics


Greenplum: How We’re DoingGreenplum: How We’re Doing

$$100 Million$100 MillionDollars saved by customers choosing

Greenplum over TeradataGreenplum over Teradata



5 Billion5 BillionShares analyzed daily by stock exchanges

and regulatory firms using Greenplumand regulatory firms using Greenplum



6 5 P b6.5 PetabytesySize of largest database in the world, Ebay,

powered By Greenplumpowered By Greenplum



300 Million300 MillionConsumers receiving more secure and

personalized services from Greenplum customerspersonalized services from Greenplum customers



20 Trillion0 oRows of data being managed by

Greenplum databasesGreenplum databases


Greenplum: Our Customers IncludeGreenplum: Our Customers Include…


Our Customers Do CoolOur Customers Do CoolStuffStuff

Powered by Greenplum:y pXtract OEM

Powered by Greenplum:

The Offering:• Unique Telco focused Customer Retention and Churn

The Customer Value:• Unique Telco-focused Customer Retention and Churn

Analysis• Used by the worlds largest Telcos: Vodafone, Verizon,

Sprint Orange etc

• Provide insight into how subscribers are using services and effectiveness

f iSprint, Orange, etc.• Ease of integration and ability to support existing SQL

very key; expanded with embedded analytics

of new service introductions

• Enhance visibility to how subscribers interact andsubscribers interact, and how that interaction may affect churn

• Substantially reduce costSubstantially reduce cost of internal development and support burden

1011/25/2009 Confidential7/1/09 10CONFIDENTIAL

Powered by Greenplum:y pNokia-Siemens Networks OEM


The Offering:• New cornerstone offering within NSN’s Subscriber

Data Management line• To date, SDM data was not analyzed due to cost and

complexity The Customer Value:• Greenplum OEM provides core data store and

analytics• Provides framework for new class

of analytic capabilities across “goldmine” of Subscriber Data for large Telco Carrierslarge Telco Carriers

• Understand what subscribers are doing, in what context, and across what offeringsg

• Substantially more insight that typical CDR or general “who talks to who” billing-centric data

• Enabling technology for more advanced Location-Based Services


Powered by Greenplum:y pClickFox OEM


The Offering:• Leader in Customer Experience Analytics

The Customer Value:• Leader in Customer Experience Analytics• GP Replacement to Oracle back-end for SAAS/Hosted

and on premise Clickfox customersR i t t l l id f t d

• Provide deeper analytics on how end-customers are interacting with the call

t• Requirement to scale larger, provide answers faster, and more easily deploy than alternatives

center• Ensure companies can

maintain a technology and business intelligencebusiness intelligence advantage as the volume and complexity of customer data continues to rise

• Reduce cost and complexity of SAAS

ff i l DBAoffering; lower DBA support in on-premise installations


Greenplum: What’s NewGreenplum: What’s New

Enterprise Data Cloud™

Initiative“Greenplum cloud plan promises a

InitiativeGreenplum cloud plan promises a new era for data warehousing.Flexible private-cloud scalability p ymeets massively parallel processing.”

Doug Henschen,Doug Henschen, Editor-in-Chief, Intelligent Enterprise


State of Play Data in a Typical EnterpriseState of Play – Data in a Typical Enterprise

• Data is everywhere – corporate EDW, 100s of data marts, ‘shadow’ databases and spreadsheets

• The goal of centralizing all data in a single EDW has proven untenable

EDW~10% of data

s g e as p o e u te ab e• The EDW plays an important role

– Top-down control for the most i t d b i d tregimented business data

– Heavy modeling and process is essential

• What about the other 90% of the data?

– Bottom-up generation and accessData Marts and Bottom up generation and access– Usage patterns change quickly –

can’t wait for EDW processesHad lead to silos and shadow IT

Data Marts and ‘Shadow’ Databases

~90% of data


– Had lead to silos and shadow IT

Enterprise Data Cloud (EDC) In ActionEnterprise Data Cloud (EDC) In Action

Provision, manage, and virtualize database

infrastructure

Discover, publish and share new data and insight


Large Global TelcoLarge Global Telco

Goals:• Remove IT barriers to analyst productivity

Approach:• Self-serve creation of project warehouses in

and value creation• Dramatically reduce IT resource constraints

and delays – i.e. realize ideas sooner

minutes – and elastically expand as needed• Load new data feeds without requiring

formal modeling• Combine centralized ‘EDW’ data with freshly

discovered feeds and other useful sources• Implement on full VCE stack at 1.3PB of

usable storage

Analyst’s Private

D F d

C O

Analyst’s New Warehouse

Data Feed


EDC PLATFORM

Large Global BankLarge Global Bank

Goals:• Transform DB IT into a virtualized, self-

Approach:• Provide ‘self serve’ model to bring ,

service infrastructure platform• Dramatically lower costs, and increase agility

to support business requirements

gshadow IT into the light

• Enable database as a service – and encourage deployment of data marts and

• Break down silo walls - provide a unified way to find and access all data

DWs onto DB’s private cloud• Allow unified data access and pragmatic

‘logical’ data model unification incrementally

AfterG R E E N P L U

M

BeforeG R E E N P L U

M

EDC PLATFORM

1711/25/2009 ConfidentialCONFIDENTIAL

DataSources

Why It Matters: yThree Industry Factors That Cannot Be Ignored

1

Commodity1

y

2

Scale of Data

Expectations3

Expectations



1

CommodityCommodityHardware • Storage • Switchingg g



2

Scale of DataScale of DataDigital Age has resulted in a data explosiong g p



3

ExpectationsExpectationsBusiness users require a modern, web-like q

user experience with rapid results


The Greenplum Generation BeginsThe Greenplum Generation Begins

Enterprise Data Cloud™

InitiativeThe new architecture and

InitiativeThe new architecture and methodology for modern enterprise data warehousing and analytics g ydirectly addressing customers’ business issues and opportunities.


Enterprise Data Cloud: pThe Future of Data Warehousing and Analytics

1

Extreme Scale and Elastic Expansion1

2

Self-Service Provisioning

U ifi d D t A3

Unified Data Access



1

Extreme Scale and Elastic Expansionp

The ability to handle massive scale and dynamic change of data volume leveragingdynamic change of data volume, leveraging

commodity hardware



2

Self-Service Provisioningg

Providing business analysts the ability to create data marts and warehouses in minutesdata marts and warehouses in minutes



3

Unified Data AccessUnified Data AccessEnabling ease and efficiency in the enterprise-wide

bli hi di i d h i f d tpublishing, discovering, and sharing of data


Enterprise Data Cloud: Step by StepEnterprise Data Cloud: Step-by-Step

Companies Can Implement and Benefit from the EDC Today

EDC Stage 2 –Mart Migration

EDC Stage 3 –Data Services

EDC Stage 1 –Sandboxing Mart Migration

Available Today

• Lower TCO through

Data ServicesAvailable, 2010

• Enables complete

SandboxingAvailable Today

• Bundled solution consolidation, improved price/performance and

pvirtualization of both infrastructure and data within the

including HW, Greenplum SW, and Professional Services performance, and

lower administrationdata within the enterprise• Realize business

value benefits from EDC in just weeksj


Thank youThank you

• Luke Lonerganllonergan@greenplum [email protected]


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Greenplum: Driving the future of Data Warehousing and Analytics

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