Big Data

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Big Data y su valor en la transformación del marketing digital

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Big Data?
October 20, 2014

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Simply Fast. ™

Introduction to Vertica
October 20, 2014

www.vertica.com

“…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

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

2500+ clientes y creciendo

Financial Services

Communications

Consumer Marketing

Online Web & Gaming

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
6

Healthcare

Retail

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.

• Store and analyze network usage data over
years for ease in trend forecasting.
• Create dashboards for metrics based on time of
day, peak hours, etc.
©2014 HP Vertica. CONFIDENTIAL– INTERNAL USE ONLY. DO NOT DISTRIBUTE EXTERNAL TO HP.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
7

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

• 40 min queries now run in seconds in Vertica.
• Customer can now use other BI ecosystem tools
for reporting and visualization.
©2014 HP Vertica. CONFIDENTIAL– INTERNAL USE ONLY. DO NOT DISTRIBUTE EXTERNAL TO HP.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
8

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%

©2014 HP Vertica. CONFIDENTIAL– INTERNAL USE ONLY. DO NOT DISTRIBUTE EXTERNAL TO HP.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
9

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

©2014 HP Vertica. CONFIDENTIAL– INTERNAL USE ONLY. DO NOT DISTRIBUTE EXTERNAL TO HP.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
10

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

©2014 HP Vertica. CONFIDENTIAL– INTERNAL USE ONLY. DO NOT DISTRIBUTE EXTERNAL TO HP.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
11

Introducción a Vertica
Analytics siempre disponibles

Sobre Vertica
• Fundada en: 2005

• Headquarters: Billerica, MA
• Empleados: +350

Velocidad

Escalabilidad

Sencillez

Vertica proporciona una plataforma de analytics en tiempo real que ofrece:


Low-latency para generar analytics “in-time”



50-1000x mejor desempeño en queries en comparación a otros manejadores
tradicionales y orientados a columnas



Hasta 10x mejor desempeño en carga de datos



Sencilla instalación/uso con auto-configuración y tuning



Alta escalabilidad y paralelismo nativo. Uso de hardware x86 estándar en la
industria



Arquitectura híbrida in-memory/on-disk



Soporte para cargas de trabajo a gran escala

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
12

• 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

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.

En Resumen…

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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

Inténtalo…. con tus Datos… en tu Entorno
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
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