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Big data oracle_introduccion

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Information about Big data oracle_introduccion
Technology

Published on March 12, 2014

Author: franmod

Source: slideshare.net

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Propuestas de Oracle en BigData
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.1

Transformado el negocio con Big Data y Analytics Fran Navarro

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.3

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.4

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.5

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.6 222011-2016 12.5 Billion 2020 1.3 Billion Today Crecimiento Smart Phone Crecimiento Producción Datos

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.7 Big Data Drivers Ciudadanos Cosas Procesos Ingestar Almacenar Consultar Analizar

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.8 Uso Datos 12% Ejecutivos que entienden el impacto que los datos tendran en sus organizaciones Producción Datos

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.9 Capturando volumenes masivos de datos Analizando los datos Disponiendo de una plataformaunificada y segura Uso Datos Producción Datos ¿Como reducir este GAP?

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.10 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, Esc alable Flexible • Aumentar los ratios de utilización Big Data • 4 V’s: • Volumen • Variedad • Velocidad • Valor • Utilizar todos los datos disponibles

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.11 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.12 NoSQL y Big Data The Big Picture VOLUME VELOCITY VARIETY VALUE SOCIAL BLOG SMART METER 101100101001 001001101010 101011100101 010100100101

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.13 Nuevos Perfiles Big Data

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.14 Nuevos Perfiles Big Data

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.15 Time Big Data: El Reto en una Oportunidad Harness Big Data to Increase Business Value Business Value Today → High Variety → High Volume → High Complexity → High Velocity Big Data Challenges → Deep Analytics → High Agility → Massive Scalability → Real Time Tomorrow Big Data Platform VOLUME VELOCITY VARIETY VALUE SOCIAL BLOG SMART METER 101100101001001 001101010101011 100101010100100 101 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.16 Solución Big Data = Datos + Análisis + Herramientas Fuente: McKinsey “Big data: What’s your plan?” (March 2013) TOOLS Self Service Data Discovery DATA Any Data, Any Source ANALYTICS Out-of-the box Analytics, New Models On Premise, On Cloud, On Mobile

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.17 Oracle Complete Big Data Analytics Solution OBIEE ENDECA BAM BIG DATA APPLIANCE BIG DATA CONNECTORS NoSQL DB DATA MINING SPATIAL,GRAPH ORACLE R RTD OEP On Premise, Oracle Cloud, On Mobile Big Data no es nada si no se puede analizar y Big Data & Analytics no son nada sin la infraestructura adecuada

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.18 El patron de uso con Big Data Cargas de Trabajo ETL y proceso Batch en Hadoop Data Factory SQL SQL NoSQL DW & BI Analytics Web • Scalable • Flexible • Cost Effective

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.19 Expandir el Data Warehouse con pequeños almacenes de datos MartsData Warehouse Σ Σ Business Intelligence Archiving • Online • Scalable • Flexible • Cost Effective Piscina de Datos El patron de uso con Big Data

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.20 Oracle Big Data Solution Oracle BI Foundation Suite Oracle Real-Time Decisions Endeca Information Discovery Decide Oracle Advanced Analytics Oracle Database Oracle Spatial & Graph Acquire – Organize – Analyze Oracle Big Data Connectors Oracle Data Integrator Stream Oracle Event Processing Apache Flume Oracle GoldenGate Oracle NoSQL Database Cloudera Hadoop Oracle R Distribution

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.21 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.22 Highlights 1. Multitenant Architecture 2. In-Memory 3. Adaptive Query Optimization 4. SQL Pattern Matching Oracle 12c for Data Warehousing

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.23 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.24 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.25  BOTH row and column in-memory formats for same data/table  Simultaneously active and transactionally consistent  100X Faster Analytics & reporting: column format  2X Faster OLTP: row format Oracle Database 12c Breakthrough In-Memory Database Technology Column Format Memory Row Format Memory AnalyticsOLTP Sales Sales

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.26 Comparing Hadoop and RDBMS 14:45 02:33 00:00 05:00 10:00 15:00 20:00 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.27 Comparing Hadoop and RDBMS 01:13 00:10 00:01 00:00 00:20 00:40 01:00 01:20 Pattern matching: single day out of 60 days history Oracle Database delivers interactive performance ExadataBig Data Appliance In-memory

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.28 Engineered System Commodity Cluster Deployment Options

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.29 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.30 Hadoop Cluster HW Design Identify SW Optimize HadoopProcurement Rack and Stack Software Install Do It Yourself Hadoop Cluster $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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.31 Oracle Big Data Appliance Initial Infrastructure Cost1 Beats DIY Clusters on:  Initial Cost  Time to Value  Operations  Performance $0k $700k DIY BDA 1 http://www.oracle.com/us/corporate/analystreports/industries/esg-big-data-wp-1914112.pdf

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.32 Oracle Big Data Appliance 40% Cost Savings 33% Faster Time to Value OptimizedLower risk. Engineered to perform.

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.33 Produciendo Resultados Hoy 26% Performance improvement experienced from big data today Source: Economist Intelligence Unit, .”The Deciding Factor: Big Data and Decision Making“

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.34 Casos de uso de Big Data 34 Activity 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.35 Market Maturity Model for Target Verticals*1 Low High Low High A C B Gaming Oil & Gas Health care Retail G’ment Internet & Social Research G’ment Intel Emerging Markets Telco Mfg. Financial Services Big Data Technology Usage BigDatausecase definitionlevel *1 Source – Review of Big Data market by Oracle Product and Marketing Management Today’s Challenge New Data What’s Possible Healthcare Expensive office visits Remote patient monitoring Preventive care, reduced hospitalization Manufacturing In-person support Product sensors Automated diagnosis, support Location-Based Services Based on home zip code Real time location data Geo-advertising, traffic, local search Public Sector Standardized services Citizen surveys Tailored services, cost reductions Retail One size fits all marketing Social media Sentiment analysis segmentation

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.36 Indexación y Catalogación ¿Dónde están las oportunidades de Big Data? Enriquecimiento de Textos y NLP Descubrimiento Amenazas Control de Fraude Real Time Aduanas Innovación Estar preparado Identificación de Patrones y Relaciones Análisis de misiones Éxito/Impacto Clasificación y Clustering Reputación Análisis de Sentimiento Movilización en las redes Modelos Dinámicos Integración y Cruce de Información Adopción / Compartición de datos Terrorismo, Tráfico de drogas, identificación de actividades criminales Búsqueda avanzada en textos Análisis de Costes Análisis financiero

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.37 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

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.38

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.39

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