Data Virtualization : Data-as-a-Service im strategischen Mix

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1 Data Virtualization : Data-as-a-Service im strategischen Mix Dr. Christian Kurze Principal Sales Engineer DACH Denodo Technologies info.de@denodo.com

2 Denodo im Überblick Plattform Standorte Spezialist Kunden Denodo integriert Daten unabhängig von ihrer Quelle und Technologie (DB & DWH bis Hadoop, intern bis Web & Cloud, strukturiert bis unstrukturiert) in einer einheitlichen virtuellen Schicht. Applikationen nutzen die standardisierten Data Services in Real-Time (Right-Time). Headquarter: Palo Alto, CA Leader in Data Virtualization. Cool Vender in Data Integration. Weltweit: USA, United Kingdom, Spanien, Deutschland 15 Jahre Fokus auf Datenvirtualisierung & Data Services. Führendes Produkt. Lösungserfahrung. >250 Kunden aus allen Branchen, davon viele F500 und G2000 Unternehmen: Healthcare & Life Sciences, Technology, Media, Telecommunications, Insurance, Financial Services, Consumer/Retail, Public Sector. Top Product Innovation Top 10 IT Companies to Watch. Globale Präsenz in Nordamerika, EMEA, APAC, Lateinamerica. Analysten Konstantes Ranking als Leader in Datenvirtualisierung: Innovation, Flexibilität, Ease-of-Use und ROI. Best-of-Breed DV.

3 ETL Real World of Data

4 Datenvirtualisierung schließt die Lücke Query, Reference, Browse, Events/Alerts, Search

5 mit einer Datenmanagement-Strategie JDBC/ODBC Security, WS Security, HTTPS, Encryption SSL, Pass-Through Anonymous Web Browsing Encryption,

6 und einer ausgereiften Plattform Multiple Protocols, Formats Design Tools Optimizer Cache Scheduler Linked Data Services Query, Search, Browse Request / Reply, Event-Driven Secure Delivery Publish Real-time (Right-time) Data Services Combine Transform, Improve Quality, Integrate Connect Normalized Views of Disparate Sources Library of Wrappers Any Data or Content, Web Automation Read and Write Monitoring Governance Metadata Security

7 Wie funktioniert Datenvirtualisierung? PUBLISH Real-time (Right-time) Data Services PUBLISH Expose entities as data services Data services support multiple standard protocols including JDBC, ODBC, REST and SOAP/XML WS, etc. COMBINE COMBINE Transform, Improve Quality, Integrate CONNECT Normalized Views of Disparate Data Library of functions for transformation, normalization and data cleansing Graphical drag&drop tool for combining views using relational algebra Extended relational model supports hierarchical data sources CONNECT Normalized view of sources Pre-packaged connectors

8 Connect

9 Connect

10 Connect

11 Connect

12 Combine

13 Publish

14 Publish SELECT * FROM retailer; SELECT * FROM retailer WHERE retailer_code = 1101; Message Queue: <userdata> <retailer_code>1101</retailer_code> </userdata>

15 Wie funktioniert Datenvirtualisierung? SELECT * FROM customer; Kerngedanke: Keine Datenreplikation, Abfrage der Quellen in Echtzeit Anfragen werden an die virtuelle Schicht gesendet, analysiert und automatisch PUBLISH optimiert (z.b. Kostenbasierte Real-time (Right-time) Data Services Abfrageoptimierung, Caching, ). PUBLISH Expose entities as data services Data services support multiple standard protocols including JDBC, ODBC, REST and SOAP/XML WS, etc. Übersetzung der Anfrage in die Sprache COMBINE der Quelle (SQL, API, WebService-Calls, ); Transform, Improve Ausführung innerhalb der Quelle. Quality, Integrate COMBINE Nutzung der gesamten Funktionalität der CONNECT Datenquelle, z.b. Aggregationen innerhalb Normalized Views of einer DWH-Appliance bei analytischen Disparate Data Abfragen. Die Quellen sind und bleiben oftmals die optimale Art, Daten zu halten. Extended relational model supports hierarchical data sources Rückgabe des Ergebnisses an die virtuelle Schicht, ggf. Weiterverarbeitung und Rückgabe an den Konsumenten. Library of functions for transformation, normalization and data cleansing Graphical drag&drop tool for combining views using relational algebra CONNECT Normalized view of sources Pre-packaged connectors

16 Grafische Analyse der Abfragen

17 Data Virtualization Einsatzfelder Agile Business Intelligence Real-time Reporting Unified Dashboards Agile Single View Applications Customer Single View - Call Center, Portals Unified Desktops - Underwriting, Loans, Virtual Logical DW / Marts Operational Decision Data Big Data / Predictive Analytics DS for Mobile Apps Self-Service & Mobile BI Big Data for Enterprise Cloud / SaaS Integration Web Data Aggregation Social Media, Feedback Multi-structured Big Data, Cloud Integration Data Services for BPM Data Virtualization Linked Data Services (IaaS) Unified Data Layer Unified Source of Reference Virtual MDM Logical Data Abstraction Migration / Modernization Linked Data Services

18 Data Virtualization Kunden Agile Business Intelligence Agile Single View Applications Data Virtualization Big Data, Cloud Integration Linked Data Services

19 Data Virtualization Kundenerfolge Agile Business Intelligence Agile Single View Applications Access new data sources 60% faster with change requests met in just a few days with IT using 40% less analyst time to support. 50% improvement in productivity with 75% reduction in-store waiting times and 87% reduction in errors due to manual data input. Big Data, Cloud Integration Cost savings of $600,000 and 15% ROI in 3 months to delivers secure and timely manner information. Data Virtualization New suite of agile reports to sales & management in 3x the speed with 1/3rd the team size. Linked Data Services

20 Data Virtualization: Schlüsseltechnologie für Agile Unternehmen Top 3 Prioritäten für Budget-Entscheider (Forrester): Nutzung von Daten und Analytics für Entscheidungen und Geschäftsmodelle Verbesserte IT-Delivery Performance Verbesserte IT-Budget Performance Ressourcen Kosten Standardisierte, qualitätsgesicherte Linked Data Services Einfache Integration bestehender und neuer Quellen in verschiedensten Formaten Zentrale Zugriffskontrolle auf ALLE Daten im Unternehmen Zeit Entkopplung von Front- und Back-End Operationale und Analytische Einsatzfelder Bis zu 80% schneller und preiswerter als klassische Datenintegration per ETL und Datenreplikation

21 Centralized Licensing impacts many business applications and units Benefits of Virtual Data Services Multiple Licensing & Appointment systems throughout Agency drive complexity for modification or exponential efforts and cost around new licensing related features. Centralized Licensing Platform and Licensing Integration Layer allows for simplicity and transparency to downstream systems End vision relieves legacy systems of all Licensing capabilities and Licensing Integration layer provides common reusable interface services 1. Helping modernize legacy infrastructure by providing access to all systems in the company 2. Unified data model across multiple systems via the flexible modelling capabilities 3. DV in key role to facitlitating IT evolution through abstraction and decoupling of back-end

22 RCable: Enterprise-Level Data Services Platform Telecommunications cable company in Spain offering telephone, mobile phone, Internet and TV 15% increased customer loyalty It is currently being used for all the areas in the company, including: Self-Service Customer Portal Call Center Unified Desktop Sales reporting TV listings Data Retention application Benefits of Virtual Data Services 1. Resources: Only 2 to 3 developers for current 150 integrations ETL and BPM required 15x this many developers for similar results 2. Time: 30 Integrations completed in their first year 3. Budget: ROI within a year instead of traditional 3 to 5 years; Data Virtualization saves 60% vs. traditional methods Single View of Customer Information across services Set-top TV box info provider

23 Global Purchasing Reporting: Purchasing DWH & Spend Analytics Tableau Dashboard Teradata Business Objects Universe Purchasing Data Mart Benefits of Virtual Data Services 1. Operational BI through real-time integration of current Spend Analytics with historical data ETL 2. Seamless Integration into Reports and Dashboards since the virtual layer automatically routes the query to the correct source: Historical information and real-time operational data Purchasing Data Warehouse 3. Improvement for Supply Chain by providing current data in the same reports for business partners ETL MSC Analysis MSC Buyer Logistics Maintenance CBS ERP

24 Zusammenfassung Data Virtualization Middleware für virtuelle Datenintegration Standardisiertes logisches Datenmodell für alle Applikationen und Nutzer Universeller Datenzugriff: intern/extern, Schätze aus allen Daten heben Minimierung der Replikation Wiederverwendbare Datenservices Zentrale Security und Governance Web/Cloud/Big Data, strukturiert/unstrukturiert Flexible Integrationsoptionen real-time, cached, scheduled batch Enterprise Class Powerful and Agile Abstrahierte und vereinheitlichte Datenservices, Zugriffskontrolle, SLAs Data Governance, Data Lineage, Data Management, Einfache Integration in Infrastruktur Performance und Skalierbarkeit

25 Vorteile aus Data Virtualization Hochqualitative Informationen Integration getrennter Datensilos Integration von Web / Cloud, Big Data, unstrukturiert Real-time (Right-time) Data Services Einhaltung von SLAs: IT <-> Fachabteilung <-> Kunde Agilität für die Fachabteilungen Flexibilität für die IT Sicherung von Wettbewerbsvorteilen Geringe Kosten & hohe Agilität Integrationskosten um 80% gesenkt Flexibilität bei Changes Schnelle Realisierung von Lösungen Projekte in 4-6 Wochen, ROI in <6 Monaten Neue Möglichkeiten für IT und Business

26 The Fastest Way to Data Virtualization. Download Denodo Express now from community.denodo.com

27 The Fastest Way to Data Virtualization. Your Way to Become a Data Ninja. Download Denodo Express now from community.denodo.com

28 The Fastest Way to Data Virtualization. Your Way to Become a Data Ninja. Download Denodo Express now from community.denodo.com

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