big data oracle_introduccion

Transformado el negocio con Big Data y Analytics

Fran Navarro


22×2011-2016

12.5Billion2020

1.3BillionToday

Crecimiento Smart Phone Crecimiento Producción Datos


Big Data Drivers

Ciudadanos Cosas Procesos

IngestarAlmacenarConsultarAnalizar


UsoDatos

12%

Ejecutivos que entienden el impacto que los datos tendran en sus

organizaciones

ProducciónDatos


Capturando volumenes masivos de datos

Analizando los datos

Disponiendo de una plataforma unificada y segura

UsoDatos

ProducciónDatos

¿Como reducir este GAP?


Los Cuatro Pilares de la Gestión de los Datos

Movlidad

• Acceder a los datos donde y cuando se necesiten

• Soportar variedad de dispositivos

In-Memory

• Velocidad y eficiencia

• Reducir el coste de operación y admin

Cloud

• Elastico, Escalable Flexible

• Aumentar los ratios de utilización

Big Data

• 4 V’s:• Volumen• Variedad• Velocidad• Valor

• Utilizar todos los datos disponibles


Definición de Mercado de Tecnologias Big Data

Las tecnologías Big Data describen una nueva generación de arquitecturas y tecnológicas diseñadas para extraer valor (económico) para gran Variedad-Volumen de datos caracterizados por la alta velocidad de captura, descubrimiento y/o análisis

Data Volume

Data Variety

Value

Data Velocity

Petabytes+Terabytes

StreamingBatch

$$$$$$

UnstructuredStructured


NoSQL y Big DataThe Big Picture

VOLUME VELOCITY VARIETY VALUE

SOCIAL

BLOG

SMARTMETER

101100101001001001101010101011100101010100100101


Nuevos PerfilesBig Data


Time

Big Data: El Reto en una Oportunidad Harness Big Data to Increase Business Value

BusinessValue

Today

→ High Variety→ High Volume→ High Complexity→ High Velocity

BigData

Challenges

→ Deep Analytics→ High Agility→ Massive Scalability→ Real Time

Tomorrow

Big DataPlatform

VOLUME VELOCITY VARIETY VALUE

SOCIALBLOG

SMARTMETER

101100101001001001101010101011100101010100100101

Decisions based upon transactional data

• Video and images• Documents • Social data• Machine-generated

data

Decisions based upon all data

Before Big Data

After Big Data


Solución Big Data = Datos + Análisis + HerramientasFuente: McKinsey “Big data: What’s your plan?” (March 2013)

TOOLSSelf Service

Data Discovery

DATAAny Data,

Any Source

ANALYTICSOut-of-the box

Analytics,New Models

On Premise, On Cloud,On Mobile


Oracle Complete Big Data Analytics Solution

OBIEEENDECA

BAM

BIG DATA APPLIANCE

BIG DATA CONNECTORS

NoSQL DB

DATA MININGSPATIAL,GRAPH

ORACLE RRTDOEP

On Premise, Oracle Cloud,

On Mobile

Big Data no es nada si no se puede analizar yBig Data & Analytics no son nada sin la infraestructura adecuada


El patron de uso con Big DataCargas de Trabajo ETL y proceso Batch en Hadoop

Data Factory

SQL

SQL

NoSQL

DW & BI

Analytics

Web• Scalable• Flexible• Cost

Effective


Expandir el Data Warehouse con pequeños almacenes de datos

MartsData Warehouse

Σ Σ

BusinessIntelligence

Archiving

• Online• Scalable• Flexible• Cost

Effective

Piscina de Datos

El patron de uso con Big Data


Oracle Big Data Solution

Oracle BI Foundation Suite

Oracle Real-TimeDecisions

Endeca Information Discovery

Decide

Oracle Advanced Analytics

OracleDatabase

Oracle Spatial & Graph

Acquire – Organize – Analyze

Oracle Big Data Connectors

Oracle DataIntegrator

Stream

Oracle Event Processing

Apache Flume

OracleGoldenGate

Oracle NoSQL

Database

Cloudera Hadoop

Oracle R Distribution


Oracle Big Data Solution

Oracle NoSQL

Database

Cloudera Hadoop

Oracle R Distribution

Scalable key-value store

Scalable, low-cost data storage and processing engine

Statistical analysis framework


Highlights1. Multitenant Architecture2. In-Memory3. Adaptive Query Optimization4. SQL Pattern Matching

Oracle 12c for Data Warehousing


Ingredients for Performance:Optimized Use of Storage and Memory

Oracle Database In-Memory

DISK

PCI FLASH

DRAM

Online Data

Hottest Data

Active Data Exadata Smart Flash Cache

Exadata Storage Servers 10’s GB/sec

100’s GB/sec

50-100 GB/sec


Oracle Database In-Memory Option

Leading edge In-Memory technology – Seamlessly integrated into Oracle Database

Delivers Extreme Performance for– Analytics and Ad-Hoc reporting on live data

– Enterprise OLTP and Data Warehousing

– Scale-up and Scale-out

Trivial to Deploy for All Applications and Customers


BOTH row and column in-memory formats forsame data/table

Simultaneously active and transactionally consistent

100X Faster Analytics & reporting: column format

2X Faster OLTP: row format

Oracle Database 12cBreakthrough In-Memory Database Technology

Column Format

Memory

Row Format

Memory

AnalyticsOLTP Sales Sales

Sales


Comparing Hadoop and RDBMS

00:00

04:59

09:59

14:59

19:59

14:45

02:33

Pattern matching within a full 1B record dataset

Exadata Quarter Rack (2 nodes)

Big Data Appliance (18 nodes)Exadata Big Data

Appliance

Identify suspicious transactions based on transaction time and transaction location


Comparing Hadoop and RDBMS

00:00

00:19

00:39

00:59

01:1901:13

00:09

00:01

Pattern matching: single day out of 60 days history

Oracle Database delivers interactive performance

ExadataBig Data Appliance

In-memory


Engineered System

Commodity Cluster

Deployment Options


Platform Strengths

Big Data Appliance+

Hadoop

Exadata+

Oracle Database

Low-cost Scalability Flexible Schema on

Read Abstract Storage Model Open Rapid Evolution

Extreme Performance Highly Secure Analytic SQL Rich Tool Set Vast Expertise


Hadoop ClusterHW Design

Identify SW

Optimize HadoopProcurement

Rack and Stack

Software Install

Do It Yourself Hadoop Cluster

Series1$0k

$700k

Support

Install

Software

Hardware

Design

Initial Infrastructure Cost1

1 http://www.oracle.com/us/corporate/analystreports/industries/esg-big-data-wp-1914112.pdf


Oracle Big Data Appliance

Initial Infrastructure Cost1

Beats DIY Clusters on: Initial Cost Time to Value Operations Performance

DIY BDA$0k

$700k

1 http://www.oracle.com/us/corporate/analystreports/industries/esg-big-data-wp-1914112.pdf


Oracle Big Data Appliance

40%Cost Savings

33%Faster Time to

Value

OptimizedLower risk. Engineered to perform.


Produciendo Resultados Hoy

26%Performance improvement experienced from big data today

Source: Economist Intelligence Unit, .”The Deciding Factor: Big Data and Decision Making“


Casos de uso de Big Data

34

Industry Process

Act

ivity

Revenue assurance

Churn analysis

Pricing optimization

Smart meter monitoring

Fraud Detection

Traffic flow optimization

Customer behavior analysisSocial network analysis

Legal discovery

Healthcare outcomes analysis

Life sciences research

Natural resource exploration

Weather forecasting

IT infrastructure optimization

Warranty management

Document mgmt and access

Web application optimization

Advertising analysis

Equipment monitoring


Market Maturity Model for Target Verticals*1

Low

High

Low High

A

C

BGaming

Oil & Gas

Healthcare

Retail

G’ment

Internet & Social

ResearchG’ment

Intel

Emerging Markets

TelcoMfg.

FinancialServices

Big Data Technology Usage

Big

Dat

a us

e ca

se

defin

ition

leve

l

*1 Source – Review of Big Data market by Oracle Product and Marketing Management

Today’s Challenge New Data What’s Possible

HealthcareExpensive office visits

Remote patient monitoring

Preventive care, reduced hospitalization

ManufacturingIn-person support Product sensors Automated diagnosis, support

Location-Based ServicesBased on home zip code

Real time location data Geo-advertising, traffic, local search

Public SectorStandardized services Citizen surveys

Tailored services, cost reductions

RetailOne size fits all marketing

Social media Sentiment analysis segmentation


Indexación y Catalogación

¿Dónde están las oportunidades de Big Data?

Enriquecimiento de Textos y NLP

Descubrimiento Amenazas

Control de FraudeReal Time Aduanas

InnovaciónEstar preparado

Identificación de Patrones y Relaciones

Análisis de misionesÉxito/Impacto

Clasificación y Clustering

Reputación

Análisis de SentimientoMovilización en las redes

Modelos DinámicosIntegración y Cruce de Información

Adopción / Compartición de datos

Terrorismo, Tráfico de drogas, identificación de actividades criminales

Búsqueda avanzada en textos

Análisis de CostesAnálisis financiero


Las tecnologías Big Data ofrecen un nuevo abanico de aplicaciones en administración publica.

Oracle Dispone de una arquitectura completa e integrada para un despliegue rápido y sin riesgos.

En Resumen

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