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Ten Pillars of World Class Data Virtualization

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This presentation describes how to achieve a successful and mature enterprise data virtualization solution. You will learn the key attributes to look for in an enterprise DV platform, the journey to maturity from an implementation perspective and how a solution can impact your fast data-driven business outcomes.

This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/tHWXuO.

Published in: Technology
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Ten Pillars of World Class Data Virtualization

  1. 1. Ten Pillars of World Class Data Virtualization Suresh Chandrasekaran, Senior VP
  2. 2. Agenda1.Data Virtualization Evolution 2.Ten Pillars of “World-Class” DV 3.Enterprise Maturity: A Client’s Journey 4.Impacting CxO Priorities
  3. 3. Data Virtualization Evolution 3 Feature to Enterprise Fast Data Strategy Data Integration Data Federation Data Integration Data Virtualization Data Federation Data Virtualization Self-Service Data Data Integration Data Governance Single View Data Services Database Federation “Feature” “Style” “Technology” “Enterprise Fast Data Strategy”
  4. 4. 4 Ten Pillars of ‘World Class’ Data Virtualization What are they? Robust Security Strong Integration Impact Management Dynamic Performance Broad Uses & Users Flexible Data Model Hybrid Execution Data Governance Ease of Use Broad Data Sources Access anything and everything – Enterprise, Cloud, Big Data, Social Media, Web, Files, PDF … Support all 5 use cases – Informational, Analytical, Operational, User Self-Service, Data Mgmt Past and future-proof – Leverage past skills and support yet-to-be-invented sources easily Powerhouse of integration, transformation, data quality functions; fully extensible Your choice or automatic – Full real-time to full batch, with varying shades of cache Dynamic query optimization – Move real-time queries to data using statistics and network info Prioritize and protect – Manage impact to source systems and service levels Knowledge to govern – models, entity relations, data lineage, change impact, usage, export Rapid Learning to Expert Mode – Full lifecycle, intuitive graphical and script tools, tutorials Integrated and fine-grained – Single sign-on, roles, encryption, masking, view to cell level
  5. 5. 1. Broad Data Source Connectivity Access any and every data source and virtualize with ease 100s of sources: Enterprise, Cloud, Big Data, Web, Files… +SDK Graphical wizards, vendor-specific adapters – 3 clicks to virtualize Certification & enhanced support for key enterprise sources Many paths to big data Unstructured Web, Index, Content All connectors are included Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/?s=sources Connection Wizard 5
  6. 6. 2. Support Broad Use Cases and User Types Top 5 – Informational, Analytical, Operational, User Self-Service, Data Mgmt Flexible Publishing data access via 12+ protocols; Support Search, Browse, Query SQL access via JDBC, ODBC, ADO.NET Push-down optimization of analytic queries to more analytic sources Information Self Service Tool for discovery and exploration Data Services – SOAP, REST, Odata - with advanced features Metadata & Data Management APIs 6 Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/data-virtualization- main-use-cases/
  7. 7. 3. Flexible, Resilient Virtual Data Model Past and Future-proof – Leverage past skills and support yet-to-be-invented sources Unique Extended Relational Model – relational, hierarchical, semantic, unstructured, etc. data types supported Easily learned with wide industry support Support lack of pre-defined schema Advantages in all stages – importing data sources, performance, management, publishing Represent data source query capabilities natively Allow combination of structured and unstructured queries in the same query Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/thinking-outside-the- graph-data-virtualization-and-graph-databases/ 7
  8. 8. 4. Strong Integration Capabilities Powerhouse of integration, transformation, data quality functions; fully extensible Library of transformation, quality, matching functions with auto-correct Operators for both data and metadata, structured and unstructured Graphical, model-driven wizards and script editor for logical integration Custom functions provide extensibility – build your own or invoke external tools for DQ, transform, business rules, etc. Adding functions for special data types e.g. geo-spatial, semantic, fuzzy match Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/extensibility-key- aspect-data-virtualization-platform/ 8
  9. 9. 5. Hybrid Execution – Real-time or Right-time Manual or automatic – Full real-time to full batch, with varying shades of cache Dynamic real-time integration with high performance Integrated intelligent caching – full, partial, incremental; disk, MPP, or in-memory; manual or automatic Integrated Scheduler (batch / ETL) for data persistence, export, etc. Mix and Match above for specific nodes, sources, or query types Achieve performance + agility Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/intelligent-caching-in- data-virtualization/ 9 Cached Views Real-time Views Hybrid RT / Cached View RT View or Batch Export (ETL) of Results
  10. 10. 6. Dynamic Query Optimization Best Performance Even When Processing Billions of Rows Move processing to the data paradigm Fully automated optimization decisions Considers characteristics of disparate sources Considers statistics and cost- based optimization Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/myths-in-data- virtualization-performance/ 10
  11. 11. 7. Robust Security - Integrated, Fine-grained Support single sign-on, groups & roles, encryption, masking, granular access control Virtual data and source pass- through security Integrated with LDAP, AD, SSO Fine-grained access to view, row, column, cell, masking Policy-based custom security Find more details at: denodo.com http://www.denodo.com/en/document/case-study/how- pantex-used-data-virtualization-share-sensitive-information- across 11
  12. 12. 8. Resource Management Prioritize and protect – Manage impact to source systems and service levels Integrated resource manager for workload management and source protection Allocate resources to users/applications according to business priorities Set rules for resources, actions, priority, query throttling, user priorities, etc. Custom policies support for flexibility Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/quality-of-service-in- your-business-apps/ 12
  13. 13. 9. Data Governance Knowledge of models, entity relations, data lineage, change impact, usage, export Support both top-down & bottom- up modelling, export/import Extensive metadata, data lineage, change impact info Metadata API integrates with data modelling, BI, dictionary tools Data services catalog with usage, audit/log, security information Find more details at: denodo.com http://www.denodo.com/en/media-coverage/leveraging- virtualization-streamline-data-management 13
  14. 14. 10. Ease of Use Across Full Data Lifecycle Rapid Learning to Expert Mode - intuitive graphical and script tools, management Ease of Use – Updated developer GUI, tools, tutorials, tips Business user self-service BI, discovery and exploration interface Fully integrated with version control; Migration wizards Extensive in-tool monitoring and management and external APIs Find more details at: datavirtualization.blog http://www.datavirtualizationblog.com/data-exploration-and- self-service-bi-welcome-to-the-dataweb/ 14
  15. 15. 15 Ten Pillars of ‘World Class’ Data Virtualization Reaching Enterprise Maturity Takes 16-years of Focus Robust Security Strong Integration Impact Management Dynamic Performance Broad Uses & Users Flexible Data Model Hybrid Execution Data Governance Ease of Use Broad Data Sources Access anything and everything – Enterprise, Cloud, Big Data, Social Media, Web, Files, PDF … Support all 5 use cases – Informational, Analytical, Operational, User Self-Service, Data Mgmt Past and future-proof – Leverage past skills and support yet-to-be-invented sources easily Powerhouse of integration, transformation, data quality functions; fully extensible Your choice or automatic – Full real-time to full batch, with varying shades of cache Dynamic query optimization – Move real-time queries to data using statistics and network info Prioritize and protect – Manage impact to source systems and service levels Knowledge to govern – models, entity relations, data lineage, change impact, usage, export Rapid Learning to Expert Mode – Full lifecycle, intuitive graphical and script tools, tutorials Integrated and fine-grained – Single sign-on, roles, encryption, masking, view to cell level
  16. 16. Product + Services + TCO/ROI = Success Delivered! 16 11. Solutions and Services • Solution Expertise & Frameworks • Training & Best Practices • Denodo and Partner Network • Build DV CoE 12. Flexible Deployment & Pricing • Denodo Express – Get Started Free • Denodo in Amazon Cloud – Infinitely Elastic • Denodo Server-based Licenses – Perpetual or Subscription • Denodo Enterprise Unlimited – All you can eat 1st Internal Education, ROI, Communication, Governance Data Strategy & ROI Architectur e & Use Cases Developme nt & Operations Best Practices, Build CoE CxOs, Enterprise Architects, LOB Execs POC, Pilot, Development, Integration, Testing, Performance Agile BI, Big Data Analytics, Logical DWH, Customer 360, Cloud, Data Services, etc.. 1st
  17. 17. Intel: POC in 2013 17 - “Game Changer” in 2015 Enterprise Maturity: A client’s journey
  18. 18. Intel: DV Benefits, Detail Metrics 18 Value Driver Metric Goal Actual Time to Develop Time to develop web service in days 50% 90% Time to Deploy Time to Deploy web service in days 50% 90% TTM Overall time it takes to make web service available for use 60% 90% Time to Engage Time it takes for business to engage with IT 75% 75% Performance Performance of web services 50% 60% Impact Analysis How fast can we perform impact analysis 50% 90% Enterprise Architectural Alignment Ease at which data from disparate sources can be integrated Security, data classification High Enterprise Maturity: A client’s journey
  19. 19. Enterprise DV @ Confluence of Ecosystems 19 Key Enabler to Large Projects in an Increasingly Data-Driven World Agile BI and Self-Service BI Big Data and Advanced Analytics App Development and Data Services - For Digital, Cloud, Mobility Data Virtualization
  20. 20. Denodo Adds Value to Entire CIO Agenda 20 Enabling Business Agility Focus: Making LOB partners agile i.e. launch new products, get closer to customer, offer data visibility and rapid data provisioning The Enterprise Data Marketplace. Enabling Self-Service Efficiency in Data Operations Focus: Reduce costs and complexity, minimize data replication, foster data reusability and collaboration Driving operational efficiencies and reduced cost Taming the data “mess” Focus: Data Governance, Discovery, Unified Data Modeling, Security, Data Auditing Unifying a diverse universe of data assets and helping to enforce enterprise data policies Data-Centricity in Business Focus: Integration layer for Big Data & other corporate data assets. IoT innovative projects. Data-driven business models. Data science and analytics. Innovating through big data, adding new sources for enterprise use, Advanced Analytics
  21. 21. 21 Is Denodo 6.0 Enterprise Ready? You Bet! 250+ customers across 30+ industries HEADQUARTERS Palo Alto, CA. DENODO OFFICES, CUSTOMERS, PARTNERS Global presence throughout North America, EMEA, APAC, and Latin America. LEADERSHIP  Longest continuous focus on data virtualization and data services.  Product leadership.  Solutions expertise. CUSTOMERS 250+ customers, including many F500 and G2000 companies across every major industry have gained significant business agility and ROI.
  22. 22. 22 Is Denodo 6.0 Enterprise Ready? You Bet! Public Sector Financial Services Telecommunications Healthcare Technology Manufacturing Insurance Retail Pharma / Biotech Energy
  23. 23. Thanks! www.denodo.com info@denodo.com

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