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How to integrate Big Data onto an analytical portal, Big Data benchmarking for decision making by Isaac Ciprés at Big Data Spain 2015

How to integrate Big Data onto an analytical portal, Big Data benchmarking for decision making by Isaac Ciprés at Big Data Spain 2015

DKS EAP (Enterprise Analytical Portal) was first thought of as an integrated analytical portal; a conjunction of BI and BA products (ranging from advanced customer intelligence to marketing analytics) assembled under a unified interface, specifically designed to better assist business in their decision-making.

We believe DKS EAP is of special interest for the Big Data community nowadays since it is currently leveraging technologies such as Hadoop, Cassandra, Spark and Storm to improve its analytic capabilities. Accordingly, the talk will briefly present DKS EAP as an integrated Big Data analytic environment, focusing on how the fast-growing needs for real-time, social media and geomarketing data analysis intensified its necessity to embrace Big Data technologies.

Session presented at Big Data Spain 2015 Conference
15th Oct 2015
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by: http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/program/thu/slot-8.html#spch9.1

Big Data Spain

October 22, 2015
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  1. BARCELONA || CANARIAS || MADRID || SAN FRANCISCO MADRID -

    OCT 2015 Big Data Spain 2015 Isaac Ciprés - CTO
  2. 2 What is this about?  Enterprise Analytical Portal 

    Big Data benchmarking  Big Data integration DatKnoSys | www.datknosys.com Isaac Ciprés | [email protected]
  3. 8 Benefits BENEFITS  Information in a single platform with

    business indicators (KPIs), spatial information (geomarketing), advanced analysis (data mining), reporting, collaborative notes, …  Easy to perform predictive analysis.  Global vision as it integrates and blends all internal and external data existing in the market. DatKnoSys | www.datknosys.com Isaac Ciprés | [email protected]
  4. 19 Q&A ? DatKnoSys | www.datknosys.com Isaac Ciprés | [email protected]

    Conclusions  The use of benchmarks to choose Big Data technologies is a must .  Our decision-making tool is built on top of our own benchmarking data.  Personalized customization and adaptability of the Big Data stack results in increased performance and customer satisfaction. questions
  5. © DatKnoSys S.L ( Data Knowledge Systems) - Todos los

    derechos www.datknosys.com Isaac Ciprés [email protected] www.datknosys.com © DatKnoSys S.L ( Data Knowledge Systems) - Todos los derechos reservados "We analyze, you decide"