Informatica 9 soa

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Services de Données SOA

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  • Concept: What is the problem? Enterprises are becoming more data driven. Being “a data driven enterprise” means that you leverage your data as a strategic asset throughout the organization. The benefit of being data driven is that you can uncover new markets, eliminate expensive operational errors and make smarter business decisions. In short, data driven companies consistently outperform their competitors. <animate> Everyone talks about “extracting value”. But “extracting value” has been approached in a siloed way. BI systems will aggregate data for analysis. Operational systems will access data from multiple systems separate from batch processes. Lets talk about how this has impacted companies and limited their ability to maximize the value of their data assets.
  • Concept: What is the problem? Enterprises are becoming more data driven. Being “a data driven enterprise” means that you leverage your data as a strategic asset throughout the organization. The benefit of being data driven is that you can uncover new markets, eliminate expensive operational errors and make smarter business decisions. In short, data driven companies consistently outperform their competitors. <animate> Everyone talks about “extracting value”. But “extracting value” has been approached in a siloed way. BI systems will aggregate data for analysis. Operational systems will access data from multiple systems separate from batch processes. Lets talk about how this has impacted companies and limited their ability to maximize the value of their data assets.
  • Concept: What is the problem? Enterprises are becoming more data driven. Being “a data driven enterprise” means that you leverage your data as a strategic asset throughout the organization. The benefit of being data driven is that you can uncover new markets, eliminate expensive operational errors and make smarter business decisions. In short, data driven companies consistently outperform their competitors. <animate> Everyone talks about “extracting value”. But “extracting value” has been approached in a siloed way. BI systems will aggregate data for analysis. Operational systems will access data from multiple systems separate from batch processes. Lets talk about how this has impacted companies and limited their ability to maximize the value of their data assets.
  • Concept: What is the problem? Enterprises are becoming more data driven. Being “a data driven enterprise” means that you leverage your data as a strategic asset throughout the organization. The benefit of being data driven is that you can uncover new markets, eliminate expensive operational errors and make smarter business decisions. In short, data driven companies consistently outperform their competitors. <animate> Everyone talks about “extracting value”. But “extracting value” has been approached in a siloed way. BI systems will aggregate data for analysis. Operational systems will access data from multiple systems separate from batch processes. Lets talk about how this has impacted companies and limited their ability to maximize the value of their data assets.
  • Even something that we are all very familiar with, data warehousing, can benefit from data services. As EDW appliance costs grow, we need to think long and hard about what data we move into the warehouse and what we maintain in cheaper archival systems. Also, at times, we do not have the luxury of time to consolidate all the data needed for analytics into the warehouse. This is especially true in M&A integration situations. Data services can be used to augment the warehouse, saving costs and making the warehouse more nimble in delivering ROI.
  • We can more easily deliver single view applications. Most single view applications have been built using a data consolidation pattern. However, this is more expensive and time consuming to set up. Single view applications that are based on virtually integrating data are easier to put together, but often fail as the data volumes grow. What is needed is data services that support a combination of virtual and physical data integration.
  • Data Governance [defining rules (data service level agreements) on the customer model] Single point of authorization and privacy protection for all enterprise data Improves manageability, trust and security of enterprise data [Ivan will show this]
  • Concept: What is the problem? Enterprises are becoming more data driven. Being “a data driven enterprise” means that you leverage your data as a strategic asset throughout the organization. The benefit of being data driven is that you can uncover new markets, eliminate expensive operational errors and make smarter business decisions. In short, data driven companies consistently outperform their competitors. <animate> Everyone talks about “extracting value”. But “extracting value” has been approached in a siloed way. BI systems will aggregate data for analysis. Operational systems will access data from multiple systems separate from batch processes. Lets talk about how this has impacted companies and limited their ability to maximize the value of their data assets.
  • Informatica 9 soa

    1. 1. Informatica 9 Services de Données SOA
    2. 2. Comment Informatica peut vous aider à piloter l’entreprise par les données SOA Informatica S ervice O riented A rchitecture DSOA Informatica D ata S ervice O riented A rchitecture Informatica 9 Services de D onnées SOA
    3. 3. La valorisation des données de l’Entreprise est aujourd’hui un avantage compétitif stratégique
    4. 4. Ces données sont disséminées, inaccessibles, incohérentes : souvent inexploitables à temps..
    5. 5. Ces données doivent traverser les couches d’infrastructure et les couches applicatives Comment Piloter l’Entreprise par les données
    6. 6. Informatica 9 - Services de D onnées SOA Une approche par objet logique des Données Les services de données SOA permettent de lire et d’écrire toutes les données de l’entreprise , en se fondant sur des représentations logiques , et en les délivrant aux applications exactement en temps voulu , avec confiance , et selon le média adéquat Services de données Règles Règles Règles
    7. 7. <ul><li>Mes données ne sont pas toutes dans le DataWarehouse? Comment accéder aux données temps réel assez vite pour réagir ? </li></ul>Packaged App RDBMS XML Data Web-based Data Transactional System PowerCenter SOA Based Data Services Archival System Les Data Services Informatica permettent l’agilité métier en accédant aux données stratégiques temps réel plus rapidement Informatica 9 - Services de D onnées SOA BI Applications EDW SQL Data Services
    8. 8. <ul><li>Mes données sources applicatives sont toutes hétérogènes, où vais-je trouver la vue unique de mon client ‘X’? </li></ul>Intranet Public Website Customer Support CRM ERP Fulfillment Financials Le reporting opérationnel et les projets MDM vont être accélérés en combinant intégration physique et virtuelle des données Informatica 9 - Services de D onnées SOA Data Services
    9. 9. <ul><ul><li>Les données ne sont pas fiables, pas pertinentes, pas disponibles en temps voulu </li></ul></ul>Les services de données SOA permettent d’accéder aux données en temps voulu et dans le bon format Informatica 9 - Services de D onnées SOA CUSTOMER LEAD CONTACT CUSTOMER FORECAST ORDER CUSTOMER PRODUCT ORDER CUSTOMER PRODUCT ORDER CUSTOMER INVOICE CONTRACT Customer Service Portal BI Application Sales Automation Application CUSTOMER Rules ORDER Rules PRODUCT Rules INVOICE Rules Data Services Customer Service Portal BI Application Sales Automation Application
    10. 10. AccéderTransformer Livrer au bon format Nettoyer Standardiser <ul><li>Modélisation Logique des données </li></ul><ul><li>Accès Universel aux données </li></ul><ul><li>Découverte et nettoyage des données </li></ul><ul><li>Provisionnement multimodal </li></ul><ul><li>Règles de gouvernance globales </li></ul>Informatica 9 - Services de D onnées SOA ERP Mainframe DBMS Files Modéle logique Web Services SQL Batch 00110101001001010101101010010110 Métier ? IT
    11. 11. <ul><li>Import depuis les outils de modélisation </li></ul><ul><li>Infrastructure pour construire des services de données réutilisables </li></ul>Informatica 9 - Services de D onnées SOA Business Data Object
    12. 12. <ul><li>Profiling des données hétérogènes pour un développement plus efficace </li></ul><ul><li>Visualisation des patterns et valeurs pour mieux prendre en comptes les besoins métiers </li></ul>Informatica 9 - Services de D onnées SOA Business Data Object PROFILE
    13. 13. <ul><li>Transformations des données </li></ul><ul><li>Standardisation et nettoyage des données </li></ul>Informatica 9 - Services de D onnées SOA Business Data Object DEVELOP
    14. 14. <ul><li>Partage des sources, profilings, règles et transformations tout le long du cycle de développement </li></ul><ul><li>Table de références et référentiel commun des métadonnées </li></ul>Informatica 9 - Services de D onnées SOA Business Data Object COLLABORATE
    15. 15. <ul><li>Objets virtuels sous la forme de : </li></ul><ul><li>Table relationnelle et requêtes à la demande </li></ul><ul><li>Provisionnement Excel </li></ul><ul><li>Traitements batch PowerCenter </li></ul><ul><li>Web Services </li></ul>Informatica 9 - Services de D onnées SOA Business Data Object PROVISION
    16. 16. o_orderkey < 100 OR (o_orderkey < 200 AND o_totalprice < 2000 ) ( o_orderkey = L_ORDERKEY AND L_QUANTITY > 45 ) OR ( o_orderkey = L_ORDERKEY AND L_QUANTITY > 40 ) ( L_QUANTITY > 45 or L_QUANTITY > 40) AND (L_ORDERKEY < 100 or L_ORDERKEY < 200) ( o_orderkey = L_ORDERKEY) ( o_orderkey < 100 or o_totalprice < 2000) AND ( o_orderkey < 100 or o_orderkey < 200) Optimisation : analyse globale du mapping et performance améliorée Informatica 9 - Services de D onnées SOA
    17. 17. Virtual Table Cache Business Data Object Data Object Cache Web Services Cache Table Virtuelles pour optimiser les performance avec le push down SQL sur les caches base de données Cache Objet, partagé pour les multiples tables virtuelles, web services et autres applications Informatica 9 - Services de D onnées SOA DATA SOURCES Messages Cloud Semi-structured Data Unstructured Data Application Database Mainframe Flat Files Database Virtual view SQL
    18. 18. Informatica S ervice O riented A rchitecture Vous permettre de piloter votre entreprise par ses données stratégiques !! Informatica 9 Services de Données SOA
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