“…for Facebook’s CIO, Tim Campos, to get on stage in
Europe and declare that, "A partner like
HP Vertica thinks like we do” and is a “key part” of
Facebook’s big data capabilities, is one the best
endorsements, err … “likes,” that any modern IT
infrastructure vendor could hope for.”
- Dana Gardner, Briefings Direct
4
Watch the video to see how Vertica empowers
Facebook
Why are companies interested in analyzing data?
Example: Business Requirements – Ad Monetization
• Revenue Analysis – Ability to do time series analysis and understand
financial performance from product evolution
• Cohort Analysis – What’s the connection between…? How are users
joining today different from users who joined a year ago?
• Behavior Analysis – Understand the engagement changes of recent
migration to mobile devices from PCs
• Yield Analysis – Too many or too few or just about right
• Yield Analysis – Targeted sales team allocation across verticals and
geographies based on demand
• Forecast – Accurate revenue forecasting across the company
5
Network Performance Monitoring
One of US’s largest video, high-speed Internet, and phone providers
• Product engineering analysts scour billions of
network usage records for load patterns and
how expanding Video On Demand (VoD) usage
impacts bandwidth.
• Vertica Analytics Platform allows analysis of
more than 4 billion usage records via SQL
queries; results in a fraction of the time of
traditional systems.
Customer Analytics / Network Monitoring
Leading worldwide provider of IP-based communications services
• Uses Vertica to analyze detailed phone records
over 6-day period (IP statistics, etc.)
• Rolling schedule: 70 TB managed with 12 TB
loaded per day, purged weekly
• Data loaded from non-standard DW that
previously required 40 lines of code. Compare
Vertica @ only 4 lines of SQL
Scientific Research Data Analysis
Healthcare industry leader
• Slow O _ _ _ _ e performance delayed analytics
access for thousands of scientists
• Evaluated Teradata and considered Oracle Exadata
upgrade, but HP Vertica selected for performance,
high-availability and cost-savings
• Queries reduced from four to five hours to less than
five minutes, which enables more scientific research
• HP Vertica’s use of commodity hardware reduces
costs by 30%
Sales and Marketing Data Analytics
Global restaurant industry leader
• HP Vertica used to analyze promotions and grow
market share
• Data generated in-house married with third-party
demographics data helps determine new store
locations
• By replacing I_M Netezza based datawarehousing
services purchased from parent company with HP
Vertica, queries reduced from 12 hours to three
minutes
Real-time Retail Analytics
Guess?, Inc.
• The HP Vertica backbone powers BI reporting and
analytics at Guess? in North America
• Hundreds of employees depend on regularly
scheduled and ad hoc reports, while 100 more nontraditional BI users rely on an easy-to-use “GMobile” iPad app
• Better sales tracking due to essential daily store
reports generated 90 to 400 times faster
• Improved merchandise allocation and distribution of
inventory across retail locations
• Inversionistas: Bessemer,
Highland, Kleiner Perkins, & NEA
• Adquirida por HP – Febrero 2011
• Redituable y con flujo de efectivo
positivo
• Clientes: +2500 incluyendo:
HP Vertica: Un ecosistema Big Data integrado
Licenciamiento Flexible
No por nodo, CPU o core
Crece por necesidades
Licencias perpetuas y por tiempo
Paga sólo por producción
Licencias gratuitas de Test / Dev y
Disaster
Valor Agregado
Flex Zone
Conectores para HADOOP, ETL, BI
tools
Soporte para Distributed R
Pulse (Sentiment Analysis)
Soporte GeoSpatial
Funciones Análiticas SQL Nativas
Cloud, VM, x86
World Class Support
365 x 24 x 7 x 4 (1 hr Misión Crítica)
Basado en Estándares
Arquitectura de costo eficiente x86
con almacenamiento DAS
ODBC / JDBC
Linux (RHEL, SUSE, Debian,
Centos)
Solución Big Data Full Big Data
Solution in 120 MB
Más datos. Más información. Más valor. Ahora!
Analytics en tiempo real
Plataforma Revolucionara de Analytics en
Tiempo Real - Construida para los
requerimientos de mañana, hoy
Sencillez de Uso - Entrega valor
inmediatamente a usuarios del negocio,
DBA’s, y programadores
El más rápido
Time-to-Value
Entorno
Flexible Integración - El Sistema deberá estar
integrado perfectamente.
Desempeño, Reducción en Footprint de
Datos & Flexibilidad son la clave