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Roland Haeve (Atos): 'Using the Cloud for Big Data Analytics'
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Roland Haeve (Atos): 'Using the Cloud for Big Data Analytics'



Presentatie van Roland Haeve (Atos): 'Using the Cloud for Big Data Analytics' tijdens het Big Data Analytics seminar 14 juni van Almere DataCapital in Almere.

Presentatie van Roland Haeve (Atos): 'Using the Cloud for Big Data Analytics' tijdens het Big Data Analytics seminar 14 juni van Almere DataCapital in Almere.



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Roland Haeve (Atos): 'Using the Cloud for Big Data Analytics' Presentation Transcript

  • 1. Using the Cloud forBig Data AnalyticsRoland Haeve, Thought Leader 14 juni 2012
  • 2. Big Data in the Cloud Email Blogs Big Data Instant messaging Twitter Open Surveys Social networking Web
  • 3. Atos Big Data Services Big Data OFFERINGS
  • 4. Cloudservices Canopy in partnership with EMC and VMware, to form an open cloud computing strategic alliance.4
  • 5. Big Data Architecture & Technology Roadmap- Architecture components: Analytic platform Big Data Analytics demand BI tools & Visualization ▶ Support for (No) SQL based queries, data mining, statistical analysis, fact clustering, data visualization, natural language processing, AI etc. Analytic platform ▶ High performance analysis to rapidly uncover new and Distribution changing patterns in data System ▶ Real-time analytics & scalability Integration ▶ Need to support in-database analytics, CEP, predictive analysis etc Storage ▶ Support for structured, unstructured, graphical, geo-spatial data etc
  • 6. Big Data Architecture & Technology Roadmap- Architecture components: Analytic platform BI tools & ▶ Based on open source Hadoop BI tools & Visualization Visualization ▶ Designed to improve manageability of Cloudera Hadoop deployment ▶ Supports scalability and flexibility across Analytic platform Analytic platform wide range of data types ▶ Shared nothing massively parallel processing architecture EMC Distribution System Distribution System ▶ High performance parallel dataflow Greenplum engine Integration Integration ▶ IBM Infosphere Big Insights based on Hadoop IBM/Oracle ▶ Features text analytics, spreadsheet style data discovery & exploration tool Storage Storage ▶ Oracle; Exalythics
  • 7. Key factors for Analytic Platform roadmap
  • 8. Some examples of Big Data Visualizations Chromogram: Text Visualization Word Tree Thermail Connection Analysis from LinkedIn8
  • 9. Eisen Big Data Analytics▶ Vaardigheden: Slechts 14 procent van de Nederlandse respondenten zegt genoeg analytische vaardigheden in huis te hebben.▶ Kennis: Zorgen over de moeilijkheden bij de implementatie van geavanceerde analytics-mogelijkheden bovenop de bestaande technologie. Ook is het moeilijk om werknemers in korte tijd bij te brengen wat de mogelijkheden van de analytics-software zijn.▶ Afdekking: Web 2.0 analytics, risk en Fraude analytics, Financiële analytics, customer analytics en enterprise business analytics strategy.▶ Investering: Grote investeringen staan op stapel: markt voor Big Data-tools zal groeien van 9 miljard vorig jaar naar 86 miljard in 2020. Dan zullen uitgaven aan Big Data-tools goed zijn voor ongeveer 11 procent van alle bedrijfsuitgaven (in relatie tot IT uitgaven).9
  • 10. Case: Big Data - Atos WorldGrid10
  • 11. Case: Big Data – Travel Web Site Business Issue ▶ Limited understanding of the dynamics of marketing response and external influences on web traffic and sales ▶ “Static” customer information Use Cases ▶ How can RSH derive the best possible value from its marketing strategies, eg: – Does a positive spike in social media sentiment translate into an increase in web sales? – Does a local radio advertising campaign translate into redspottedhanky.com increased web traffic and sales? sells discounted train – What impact does weather have on web traffic? tickets on-line. Customers gather loyalty points for Solution each ticket purchased ▶ Cloud based Big Data platform integrating, storing and which can be used to buy analysing unstructured and structured data additional train tickets. ▶ Hadoop based solution integrating weather, twitter feeds, ticketing sales, CRM and web traffic data into single repository for trend identification and analysis
  • 12. Meer informatie? Voor de Open Source Solution Big Data Whitepaper, ga naar: http://atos.net/en-us/about_us/insights-and-innovation/thought-leadership/bin/wp-open-source » Naam: Roland Haeve » Rol: Thought Leader » Mail: Roland.Haeve@atos.net » Tel: 06-22465013 » @RHaeve