Information Excellence informationexcellence.wordpress.com
Harvesting Information Excellence
Information Excellence
2013 A...
Information Excellence informationexcellence.wordpress.com
Community Focused
Volunteer Driven
Knowledge Share
Accelera...
Information Excellence informationexcellence.wordpress.com
Host Us
Two Hour Monthly Session
Half Day deep dive Session
...
Information Excellence informationexcellence.wordpress.com
2013 Apr Knowledge Share
Data Virtualization and Linked Data Se...
Information Excellence informationexcellence.wordpress.com
Suresh Chandrasekaran,
Senior VP, Denodo Technologies.
Today’s
...
Information Excellence informationexcellence.wordpress.com
Today’s
Speakers
Topic Abstract:
Context and Need for Data Virt...
Information Excellence informationexcellence.wordpress.com
Today’s
Speakers
Suresh is a recognized expert in Data Virtuali...
Information Excellence informationexcellence.wordpress.com
Today’s
Speakers
Juan Lozano, Sr. Solution Consultant, Denodo
O...
© 2013 Denodo Technologies
Data Virtualization and Linked Data Services:
The Foundation for Agile Business Intelligence, B...
© 2013 Denodo Technologies
Denodo thanks the Information Excellence Group and
IISc Bangalore for Hosting this Exclusive Se...
© 2013 Denodo Technologies
Agenda
■ Data Challenges for Business and IT
■ Data Virtualization - Faster Access, Agile Provi...
© 2013 Denodo Technologies
Key Industry Data Trends
■ Increasing data volumes
Tech innovations and new data collection met...
© 2013 Denodo Technologies
Need consolidated view of the business entities to
enable agile reporting, end users to discove...
© 2013 Denodo Technologies
Real World
 Multiple data silos (DB,
DW, Excel, Mainframes,
AS400, Big Data, NoSQL)
 Multiple...
© 2013 Denodo Technologies
Challenges
■ Data spread across heterogeneous data sources with
different data formats
■ Canoni...
© 2013 Denodo Technologies
Data Virtualization
BASE
VIEW
BASE
VIEW
BASE
VIEW
DERIVED
VIEW
Data Virtualization combines dis...
© 2013 Denodo Technologies
Data Virtualization Delivers New Capabilities
Data
Virtualization
Logical
abstraction &
decoupl...
© 2013 Denodo Technologies
Data Virtualization Platform Architecture
DataConsumers Enterprise Applications, ESB Reporting,...
© 2013 Denodo Technologies
Data Virtualization Platform Architecture
DataConsumers Enterprise Applications, ESB Reporting,...
© 2013 Denodo Technologies
Financial: Return on Data Assets (ROA)3
IT / Structural: Single Unified Data Layer2
Business: S...
© 2013 Denodo Technologies
Data Virtualization Use Cases
© 2013 Denodo Technologies
• Real-time Reporting
• Unified Dashboards
• Virtual Logical DW / Marts
• Big Data / Predictive...
© 2013 Denodo Technologies
Biogen Idec - Agile BI
Real-time Sales Reporting Across 90 Countries
© 2013 Denodo Technologies
Biogen Idec
Key Benefits and ROI fromData Virtualization
Biogen Idec executives now have access...
© 2013 Denodo Technologies
Operational BI – Unified Dashboards
Data Services for Dashboards, Performance Management
© 2013 Denodo Technologies
Operational BI – Unified Dashboards
Data Services for Dashboards, Performance Management
Incide...
© 2013 Denodo Technologies
Presentation at Buckeye DAMA (pre-production
phase):
http://buckeyedama.org/events/past-present...
© 2013 Denodo Technologies
© 2013 Denodo Technologies
© 2013 Denodo Technologies
© 2013 Denodo Technologies
© 2013 Denodo Technologies
I
© 2013 Denodo Technologies
Conformance to Industry Standard Models
ACORD
Industry
Models
XML Models
imported as
Interface ...
© 2013 Denodo Technologies
Jazztel - Agile Customer Interaction
Read / Write Data Services for Unified Agent Desktops, Cus...
Using Data Virtualization
to enable Agile BI
Bhavna Kapoor
BI Architect, The Climate Corporation
February 2013
Case Study ...
ANALYSIS
- Aggregating/analyzing very large dynamic data sets (Platform)
- Modeling weather’s impact on crop yield (Agrono...
THE BI CHALLENGE
Data needed to answer key business questions is
scattered across disparate systems in disparate forms
Data Integration
Traditional ETL / Data Warehouse Abstracted logical views of
enterprise data
Strengths
• High scale, batc...
FACTORS & CONSIDERATIONS
• Source data sets are constantly changing – different models,
storage technology, formats
• Repo...
BI Platform Architecture
Impact
Data Virtualization
• First use-cases for Sales implemented
• 3X improvement in time-to-market with 1/3rd the team
...
© 2013 Denodo Technologies
• Recognized that its highest risk comes from dynamic areas of
medicine with rapid advances in ...
© 2013 Denodo Technologies
Virtualized Data Services Reduce Clinical Risk
EDW - Claims,
Payments
Risk Management
Applicati...
© 2013 Denodo Technologies
Location Based Services
Past, Present, Future
© 2013 Denodo Technologies
Navteq - Agile Location Based Services
Combine EDW, Cloud, data feeds and real-time social medi...
© 2013 Denodo Technologies
Agile Location Based Services -
Combined View of Static and Dynamic Data
© 2013 Denodo Technologies
DV Vision = Unified Virtual Data Layer
Enterprise Abstraction, Semantic Data Services, Agile Ev...
© 2013 Denodo Technologies
Solve
one/more
projects
Prove
value
Expand to
other use
cases
Reusability
and
scalability
Expan...
© 2013 Denodo Technologies
Oppenheimer Funds – Enterprise Strategy
For Turning Data Into Informaiton
Data Virtualization
E...
© 2013 Denodo Technologies
Data Virtualization at Oppenheimer
■ Access any source
■ Make them look homogeneous
■ Pre-integ...
© 2013 Denodo Technologies
Data
Federation
DW
Extension
Enterprise
Data Sharing
Real-time
Enterprise
Cloud
Integration
Vir...
© 2013 Denodo Technologies
Data Virtualization
Deployment Benefits & ROI
■ Easier to transform and combine disparate data ...
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 79Cisco ConfidentialCisco Confidential© 2010 C...
8080
Business
Analytics
Application/
Social
Analytics
Network/
Infrastructure
Analytics
Analytics focused on Business
Serv...
Cisco Public 82© 2011 Cisco and/or its affiliates. All rights reserved.
Cisco Public 84© 2011 Cisco and/or its affiliates. All rights reserved.
8585
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services
...
8686
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services
...
8787
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services
...
8989
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services
...
9090
Data Virtualization drives:
 Integration, aggregation of data from multiple
sources—for virtual data services
 Dyna...
© 2013 Denodo Technologies
• Real-time Reporting
• Unified Dashboards
• Virtual Logical DW / Marts
• Big Data / Predictive...
© 2013 Denodo Technologies
Agenda
■ Data Challenges for Business and IT
■ Data Virtualization - Faster Access, Agile Provi...
© 2013 Denodo Technologies
Key Takeaways
■ Data Virtualization is mainstream
• Many companies implementing Unified Virtual...
© 2013 Denodo Technologies
Results You Can Expect from DV
Better Quality Information
 Focus on Business Information Needs...
© 2013 Denodo Technologies
Denodo – Focused Leader in Data Virtualization
Forrester - Leader in Forrester WaveTM: Data Vir...
© 2013 Denodo Technologies
Data Virtualization – More Resources
• White Papers: High Value Uses of Data Virtualization-
An...
© 2013 Denodo Technologies
© 2013 Denodo Technologies
Information Excellence IISc DENODO data virtualization_20130420
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Information Excellence IISc DENODO data virtualization_20130420

  1. 1. Information Excellence informationexcellence.wordpress.com Harvesting Information Excellence Information Excellence 2013 Apr Knowledge Share Session
  2. 2. Information Excellence informationexcellence.wordpress.com Community Focused Volunteer Driven Knowledge Share Accelerated Learning Collective Excellence Distilled Knowledge Shared, Non Conflicting Goals Validation / Brainstorm platform Mentor, Guide, Coach Satisfied, Empowered Professional Richer Industry and Academia About Information Excellence Group Progress Information Excellence Towards an Enriched Profession, Business and Society
  3. 3. Information Excellence informationexcellence.wordpress.com Host Us Two Hour Monthly Session Half Day deep dive Session Full Day Summit Session Speaker Support Recommend Speakers Suggest Topicss Sponsor (In Kind, No Cash) Welcome Kit Speaker Mementoes You Can Help this Community Grow Progress Information Excellence Towards an Enriched Profession, Business and Society All Our Sessions are Free for participants; All Support and Sponsorship in Non Cash mode
  4. 4. Information Excellence informationexcellence.wordpress.com 2013 Apr Knowledge Share Data Virtualization and Linked Data Services: The foundation for Agile Business Intelligence, Big Data and Dynamic Information Management in the 21st century Thank You for hosting us today
  5. 5. Information Excellence informationexcellence.wordpress.com Suresh Chandrasekaran, Senior VP, Denodo Technologies. Today’s Speakers Topic Abstract: Data Virtualization has gone mainstream! It has been adopted as a critical information management capability at major companies worldwide and leading SI firms. The need is driven by business users, BI analysts and application developers wanting timely and agile data access to a broad array of enterprise data assets, and new sources like Cloud, Big Data, NoSQL, Web and Social Media. Data Virtualization provides the ability to integrate disparate sources and present them as Linked Data Services for both BI and operational use. Can it Transform and Change the world of Data and Decisions? Can it impact the Business Models?
  6. 6. Information Excellence informationexcellence.wordpress.com Today’s Speakers Topic Abstract: Context and Need for Data Virtualization: How have data sources, technologies and business needs changed? What is Data Virtualization? What are the key capabilities and value it provides? Industry use cases for Data Virtualization Analytical (Agile BI and Big Data Analytics), Operational (Single View, Mobile & Cloud applications, Data Services, etc.) Data Management (Logical Data Warehouse, Virtual MDM etc. ) scenarios Data Virtualization / Linked Data Services – Live demo Business Impact, ROI and Best practices for Data Virtualization Q&A. TOPIC ABSTRACT
  7. 7. Information Excellence informationexcellence.wordpress.com Today’s Speakers Suresh is a recognized expert in Data Virtualization. Over 15 years of experience in leading integration middleware and Web companies. Previously, a management consultant at Booz & Co He speaks frequently at conferences on technology and its business impact, most recently at Enterprise Data World, several regional DAMA meetings, TDWI, Forrester EA forum, etc. He has an MBA from the University of Michigan and undergraduate degrees from India. Used to be a CA and Financial Person, Mergers and Acquisitions Enjoys Karnatik Music, his wife runs Bharatat Natyam dance school Mid-career Travel (after Booz) – 2 yrs on motorcycle around the world Suresh Chandrasekaran, Senior VP, Denodo Technologies.
  8. 8. Information Excellence informationexcellence.wordpress.com Today’s Speakers Juan Lozano, Sr. Solution Consultant, Denodo Over 7 years in the Data Integration and Data Virtualization software industry with Denodo. Deep experience in multiple business software implementation and integration projects turning business needs into technical solutions. Worked in several strategic multinational projects and interacted with customers, at both CxO and technical levels. Engineer (BS and MS) from Universidad Antonio de Nebrija, SPAIN Continued Knowledge quest with UC Berkeley and Stanford Supporting Presentation Roles Suhaas Kodagali, Product Marketing, Denodo B.Eng, BHU, MBA, Darden School, UVA; Worked at Cognizant in Bangalore and USA; Works on Customer Case Studies & Marketing
  9. 9. © 2013 Denodo Technologies Data Virtualization and Linked Data Services: The Foundation for Agile Business Intelligence, Big Data and Dynamic Information Management in the 21st century Suresh Chandrasekaran suresh@denodo.com April 20, 2013
  10. 10. © 2013 Denodo Technologies Denodo thanks the Information Excellence Group and IISc Bangalore for Hosting this Exclusive Session We encourage comments and questions. Please submit your Q’s to moderator with name of your org. A recording of this presentation will be available online at Information Excellence website and www.denodo.com All content rights are reserved by Denodo Technologies, Inc.
  11. 11. © 2013 Denodo Technologies Agenda ■ Data Challenges for Business and IT ■ Data Virtualization - Faster Access, Agile Provisioning ■ Industry Use Cases • Analytical (Agile BI and Big Data Analytics, Logical DW, DW Prototype, etc) • Operational (Single Customer View, Cloud Integration, Mobile Apps) • Data Management (Data Services / IaaS, Unified Governance, Virtual MDM) • Industry Specific Use Cases ■ BREAK: Data Virtualization Videos ■ LIVE DEMO: Data Virtualization / Linked Data Services ■ Summary - Business Impact & ROI ■ Q&A (At end of each session)
  12. 12. © 2013 Denodo Technologies Key Industry Data Trends ■ Increasing data volumes Tech innovations and new data collection methods like machine data, weather sensors, web logs, social media ■ Increasing data usage apps/devices Multiple BI & analytic tools, cloud and mobile apps to track and use data ■ Increasing analytics processes Increased analytics (self-service, big data, predictive) to gain competitive advantage ■ Business drivers for speed, agility, cost Faster time to market on new products and business models, compliance, M&A integration, cost efficiencies
  13. 13. © 2013 Denodo Technologies Need consolidated view of the business entities to enable agile reporting, end users to discover / browse data, and applications to reuse data services Business Need Customers Agents Risk Factors Products Claims
  14. 14. © 2013 Denodo Technologies Real World  Multiple data silos (DB, DW, Excel, Mainframes, AS400, Big Data, NoSQL)  Multiple access needs (BI tools, mobile, cloud apps)  Access to new data types and external sources is hard  Data quality issues - Redundant data, Direct back- end updates, copies etc.  High legacy integration and custom coding to replicate data which is costly and inflexible to changes Agent Data (MS SQL Server) Customer Data (MySQL) Claims System (Web Service - Rest) Auto location / smart grid data (Hadoop, NoSQL) Ext. Information - D&B, Lexis Nexis (Web data) Product Data (CSV) ERP (Sales, Contract) Data (Cloud App.) Pricing/Analytics (Web Application) Legacy Data (Mainframe, AS400)
  15. 15. © 2013 Denodo Technologies Challenges ■ Data spread across heterogeneous data sources with different data formats ■ Canonical views must combine data from different sources ■ Data may need to be transformed and cleaned ■ Create the associations between the related entities ■ Ensure good performance ■ Need for rapid time to market, flexible to update / change ■ Minimize replication of data which is costly ■ Increase reuse of data (self-services, data services etc) ■ Integrated governance, security, data quality / master data
  16. 16. © 2013 Denodo Technologies Data Virtualization BASE VIEW BASE VIEW BASE VIEW DERIVED VIEW Data Virtualization combines disparate data sources into a single “virtual” data layer that provides unified access and integrated data services to consuming applications in real-time (right-time) Connect & Virtualize Combine & Integrate Publish as a Data Service
  17. 17. © 2013 Denodo Technologies Data Virtualization Delivers New Capabilities Data Virtualization Logical abstraction & decoupling On-demand, real-time access to disparate data Semantic integration of structured, Web, unstructured Agile Data services Provisioning (many formats, secure, reusable) Unified data governance
  18. 18. © 2013 Denodo Technologies Data Virtualization Platform Architecture DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization Design Tools Optimizer Cache Scheduler Monitoring Governance Metadata Security Publish Real-time (Right-time) Data Services Combine Transform, Improve Quality, Integrate Connect Normalized Views of Disparate Data Denodo Platform Library of Wrappers Web Automation Any Data or Content Read and Write DataSources Databases & Warehouses Enterprise Applications Cloud / SaaS Applications XML, Excel, Flat Files Big Data, NoSQL Web 2.0 Soc. Media PDF, Docs, Index, Emails More Structured Less Structured Business Solutions Access Information- as-a-Service Denodo Platform Right Information at the Right Time Disparate Data Any Source Any Format Multiple Protocols, Formats Linked Data Services Query, Search, Browse Request/Reply, Event Driven Secure Delivery
  19. 19. © 2013 Denodo Technologies Data Virtualization Platform Architecture DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization Design Tools Optimizer Cache Scheduler Monitoring Governance Metadata Security Publish Real-time (Right-time) Data Services Combine Transform, Improve Quality, Integrate Connect Normalized Views of Disparate Data Denodo Platform Library of Wrappers Web Automation Any Data or Content Read and Write DataSources Databases & Warehouses Enterprise Applications Cloud / SaaS Applications XML, Excel, Flat Files Big Data, NoSQL Web 2.0 Soc. Media PDF, Docs, Index, Emails More Structured Less Structured Business Solutions Access Information- as-a-Service Denodo Platform Right Information at the Right Time Disparate Data Any Source Any Format Multiple Protocols, Formats Linked Data Services Query, Search, Browse Request/Reply, Event Driven Secure Delivery Universal Data Access Agile High Performance Universal Data Publishing Unified Data Governance Unified Virtual Data Layer
  20. 20. © 2013 Denodo Technologies Financial: Return on Data Assets (ROA)3 IT / Structural: Single Unified Data Layer2 Business: Speed, Flexibility, Cost1 Why Data Virtualization? Data Virtualization enables timely delivery of data and flexibility to change at lower cost than traditional integration A unified virtual layer that abstracts underlying source complexity and presents disparate data as if from a single source Multiply business value by increasing ‘shareability’ of a data resource across multiple data users and use cases
  21. 21. © 2013 Denodo Technologies Data Virtualization Use Cases
  22. 22. © 2013 Denodo Technologies • Real-time Reporting • Unified Dashboards • Virtual Logical DW / Marts • Big Data / Predictive Analytics • Self-Service & Mobile BI • Customer Single View - Call Center, Portals • Data Services for BPM • Operational Decision Data • Unified Desktops - Underwriting, Loans, • Big Data for Enterprise • Cloud / SaaS Integration • Web Data Aggregation • Social Media, Feedback • Multi-structured • Linked Data Services (IaaS) • Unified Data Layer • Logical Data Abstraction – Migration / Modernization • Data Mashups • Unified Source of Reference - Virtual MDM Agile Business Intelligence Agile Single View Applications Big Data, Cloud Integration Linked Data Services Denodo Data Virtualization – Use Cases • DS for Mobile Apps
  23. 23. © 2013 Denodo Technologies Biogen Idec - Agile BI Real-time Sales Reporting Across 90 Countries
  24. 24. © 2013 Denodo Technologies Biogen Idec Key Benefits and ROI fromData Virtualization Biogen Idec executives now have access to new partner and public data sources that they could not leverage before : 60% faster with change requests met in just a few days with IT using 40% less analyst time to support. Business Problem • Manual process • Data freshness and quality concerns • Fragile and complex to change Business Benefits • Automated • Validated and trusted data • Self service enabled for changes • Available on-demand IT Challenges • Diverse data sources • Structured and semi-structured data • Data structure complexity • Constantly changing sources and data IT Benefits • Implementation - 4 weeks • Changes – 2,4 days • Low maintenance and support costs Biogen Idec Example Executive report – Global Drug Sales (units) across all products
  25. 25. © 2013 Denodo Technologies Operational BI – Unified Dashboards Data Services for Dashboards, Performance Management
  26. 26. © 2013 Denodo Technologies Operational BI – Unified Dashboards Data Services for Dashboards, Performance Management Incidences Summary Classification Ranking Configuration (CMDB) Changes
  27. 27. © 2013 Denodo Technologies Presentation at Buckeye DAMA (pre-production phase): http://buckeyedama.org/events/past-presentations/
  28. 28. © 2013 Denodo Technologies
  29. 29. © 2013 Denodo Technologies
  30. 30. © 2013 Denodo Technologies
  31. 31. © 2013 Denodo Technologies
  32. 32. © 2013 Denodo Technologies I
  33. 33. © 2013 Denodo Technologies Conformance to Industry Standard Models ACORD Industry Models XML Models imported as Interface views Interface Views (Virtual Models without implementations) Virtual business entities Normalized base views of data sources Person Claims Policy Premium Source data spread across multiple source systems Person Claims Policy Premium Data Virtualization Data Virtualization allows easy adoption of industry standard models • Top down modeling to enforce contracts • Creation of logical data entities (data services) • Agile development across multiple teams
  34. 34. © 2013 Denodo Technologies Jazztel - Agile Customer Interaction Read / Write Data Services for Unified Agent Desktops, Customer Portals Deliver Customer Information- as-a-Service to multiple front- ends Transform and combine into Virtual Data Views based on context and agent profile Access all data: 51+ sources back-end systems, partner, content and external web Support write-backs through DV / Data Services Platform or directly to Transaction systems 2500 contact center agents, High concurrency > 1 million transactions a day 25% cache hit rate, High-performance active – active cluster configuration Use of Data Virtualization
  35. 35. Using Data Virtualization to enable Agile BI Bhavna Kapoor BI Architect, The Climate Corporation February 2013 Case Study Presented at TDWI Conference in Las Vegas, NV. Download from: http://www.denodo.com/en/resources/documentation/case_studies/case_study_the_climate_corporation.pdf
  36. 36. ANALYSIS - Aggregating/analyzing very large dynamic data sets (Platform) - Modeling weather’s impact on crop yield (Agronomy) - Simulating weather to assess risk, recommend coverage and price policies (Climatology) OUR CORE COMPETENCIES SIMULATION - 30 T simulation values - 34 TB of simulations saved in S3 - Unique statistical AGGREGATION - 1000s of concurrent instances running map- reduce clusters - Unique agronomic research (machine - Daily weather measurements for over 500K locations - 712 unique measurements - 22 weather datasets
  37. 37. THE BI CHALLENGE Data needed to answer key business questions is scattered across disparate systems in disparate forms
  38. 38. Data Integration Traditional ETL / Data Warehouse Abstracted logical views of enterprise data Strengths • High scale, batch oriented data delivery • Complex transformations • Query performance Challenges • Multiple copies of the data • Time-to-market Strengths • Unified, on-the-fly access to heterogeneous data sources • Push-down query optimization • Intelligent caching • Faster, agile development Challenges • High source resource utilization • Limited transformation
  39. 39. FACTORS & CONSIDERATIONS • Source data sets are constantly changing – different models, storage technology, formats • Reporting requirements are fairly straightforward (aggregations, slicing-and-dicing) but requirements change frequently • Avoid large scale data replication – huge overhead to build, keep in sync, storage costs • Move towards RESTful web interfaces – data as a service
  40. 40. BI Platform Architecture
  41. 41. Impact Data Virtualization • First use-cases for Sales implemented • 3X improvement in time-to-market with 1/3rd the team • Other use-cases • Risk reporting automation using Hive/Denodo • Linked data services and BI Portal • Operational Data Integration
  42. 42. © 2013 Denodo Technologies • Recognized that its highest risk comes from dynamic areas of medicine with rapid advances in technology • Used Data Virtualization to integrate unstructured big data sources with 25 years of claims history data and internal sources • Leading Patient safety and medical malpractice insurance company serving a large university medical community since 1976 - - Over 10000 doctors, 18 hospitals and 238 other healthcare organizations. Unstructured Intelligence for Clinical Quality
  43. 43. © 2013 Denodo Technologies Virtualized Data Services Reduce Clinical Risk EDW - Claims, Payments Risk Management Applications For Medical Malpractice Insurance Risk Assessment & Pricing Physician Best Practices Public Web - MHQP, MA Med board … Claims Knowledge Base Risk Models, Polices
  44. 44. © 2013 Denodo Technologies Location Based Services Past, Present, Future
  45. 45. © 2013 Denodo Technologies Navteq - Agile Location Based Services Combine EDW, Cloud, data feeds and real-time social media Batch Data Virtualization Real-time Integration Web & Social Media Batch Real Time Location Content Management System Smart API – Core Widgets User Data Store Service Web, Devices | Users | Partners | App Builders POIs
  46. 46. © 2013 Denodo Technologies Agile Location Based Services - Combined View of Static and Dynamic Data
  47. 47. © 2013 Denodo Technologies DV Vision = Unified Virtual Data Layer Enterprise Abstraction, Semantic Data Services, Agile Everything Replicate MDM/ Data warehouse ETL Propagate SOA/ Service Registry BPM/ESB Collaborate Portals, File Sharing Emails, Social Platforms Search CMS Knowledge-db Crawl, Index, Semantic Tool Federate Real-time Query Engine Connectors Agile BI & Analytics Agile Applications People, Processes Content Intelligence Databases & Warehouses Enterprise Applications Cloud / SaaS Applications XML, Excel, Flat Files Big Data NoSQL Collaboration Web 2.0 PDF, Docs, Index, Emails More Structured Less Structured Diverse Data Sources and Formats Data Virtualization Data Virtualization
  48. 48. © 2013 Denodo Technologies Solve one/more projects Prove value Expand to other use cases Reusability and scalability Expand enterprise- wide Enterprise strategic vision Design for scale and support Systemic data services High value use cases first Multiple usage patterns Tactical Approach Enterprise-wide Approach People Process Technology Hybrid Approach Possible Enterprise-wide Approach to Data Virtualization
  49. 49. © 2013 Denodo Technologies Oppenheimer Funds – Enterprise Strategy For Turning Data Into Informaiton Data Virtualization Enterprise Dynamic Information Systems RESTful Linked Data Services – all data assets represented as a resource … easy to search, browse, query …
  50. 50. © 2013 Denodo Technologies Data Virtualization at Oppenheimer ■ Access any source ■ Make them look homogeneous ■ Pre-integrated graph of information for users ■ Build very rapidly
  51. 51. © 2013 Denodo Technologies Data Federation DW Extension Enterprise Data Sharing Real-time Enterprise Cloud Integration Virtual MDM MDM Registry Data Virtualization Patterns
  52. 52. © 2013 Denodo Technologies Data Virtualization Deployment Benefits & ROI ■ Easier to transform and combine disparate data sources • Unified, real-time access for consuming applications ■ Linkable, browsable data through RESTful access ■ Data is not copied, so reduces redundancy and is ‘timely’ ■ Rapid provisioning of virtual data sources ■ Variety of delivery interfaces • JDBC/ODBC, REST/SOAP services, XML/JSON/HTML ■ Caching to improve performance • Request-level, Fragment-level, View-level, etc. ■ Lots of DV patterns in use makes it a great utility asset ROI: Denodo Data Services architecture enabled us to save thousands of programming hours in recent portal and application deployments.
  53. 53. © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 79Cisco ConfidentialCisco Confidential© 2010 Cisco and/or its affiliates. All rights reserved. 79 Cisco Services Data Virtualization For Smart Services Sanjeev Ukhalkar Senior Director, Cisco Services November 2012
  54. 54. 8080 Business Analytics Application/ Social Analytics Network/ Infrastructure Analytics Analytics focused on Business Services Management, Cost Optimization, Business Optimization, Service Quality Application/Server/Virtualization related analytics that help optimize various metrics like Performance, Capacity Planning, Availability Analytics around network, optimizes networks for Performance, Capacity, Fault, Availability, Risk, Compliance Cisco Smart Services Platform • Node-based architecture with data aggregation, virtualization sets stage for predictive analytics • Analytics algorithms leverage data from multiple sources— Big Data • Virtualization, dynamic provisioning, horizontal scaling support delivering business insight
  55. 55. Cisco Public 82© 2011 Cisco and/or its affiliates. All rights reserved.
  56. 56. Cisco Public 84© 2011 Cisco and/or its affiliates. All rights reserved.
  57. 57. 8585 Cisco Smart Services Platform Enterprise Apps Reporting, Portals Mobile / Web Professional Services Support Services Operate Services Customer Support (web services) Cisco Network Inventory, Contracts, Alerts Service Requests Authorization Services (web services) DataSourcesCustomers, Partners
  58. 58. 8686 Cisco Smart Services Platform Enterprise Apps Reporting, Portals Mobile / Web Professional Services Support Services Operate Services Customer Support (web services) Cisco Network Inventory, Contracts, Alerts Service Requests Authorization Services (web services) DataSourcesCustomers, Partners • Difficult to flexibly combine disparate data sources – unforeseen needs to add new, emerging, less-structured data sources to traditional ones • Need an abstraction layer-- data services / data asset strategy that lets analytics and UI layers focus on what they do best • How to handle hybrid of persistent data + real-time, master data + transaction data • Need dynamic partitioning and clusters to increase resource utilization, horizontal scalability • Higher development costs
  59. 59. 8787 Cisco Smart Services Platform Enterprise Apps Reporting, Portals Mobile / Web Professional Services Support Services Operate Services Customer Support (web services) Cisco Network Inventory, Contracts, Alerts Service Requests Authorization Services (web services) DataSourcesCustomers, Partners Data Aggregation / Data Virtualization Layer
  60. 60. 8989 Cisco Smart Services Platform Enterprise Apps Reporting, Portals Mobile / Web Professional Services Support Services Operate Services Customer Support (web services) Cisco Network Inventory, Contracts, Alerts Service Requests Authorization Services (web services) DataSourcesCustomers, Partners Data Aggregation / Data Virtualization Layer • Provides data integration, aggregation from all sources • Delivers virtual data services • Engineering costs reduced up to 25%
  61. 61. 9090 Data Virtualization drives:  Integration, aggregation of data from multiple sources—for virtual data services  Dynamic, horizontal scaling—to meet current and emerging market demands  Better performance, lower cost
  62. 62. © 2013 Denodo Technologies • Real-time Reporting • Unified Dashboards • Virtual Logical DW / Marts • Big Data / Predictive Analytics • Self-Service & Mobile BI • Customer Single View - Call Center, Portals • Data Services for BPM • Operational Decision Data • Unified Desktops - Underwriting, Loans, • Big Data for Enterprise • Cloud / SaaS Integration • Web Data Aggregation • Social Media, Feedback • Multi-structured • Linked Data Services (IaaS) • Unified Data Layer • Logical Data Abstraction – Migration / Modernization • Data Mashups • Unified Source of Reference - Virtual MDM Agile Business Intelligence Agile Single View Applications Big Data, Cloud Integration Linked Data Services Denodo Data Virtualization – Use Cases • DS for Mobile Apps
  63. 63. © 2013 Denodo Technologies Agenda ■ Data Challenges for Business and IT ■ Data Virtualization - Faster Access, Agile Provisioning ■ Industry Use Cases • Analytical (Agile BI and Big Data Analytics, Logical DW, DW Prototype, etc) • Operational (Single Customer View, Cloud Integration, Mobile Apps) • Data Management (Data Services / IaaS, Unified Governance, Virtual MDM) • Industry Specific Use Cases ■ BREAK: Data Virtualization Videos ■ LIVE DEMO: Data Virtualization / Linked Data Services ■ Summary - Business Impact & ROI ■ Q&A (At end of each session)
  64. 64. © 2013 Denodo Technologies Key Takeaways ■ Data Virtualization is mainstream • Many companies implementing Unified Virtual Data Layer to enable abstracted, decoupled, reusable data services ■ Costly and uneccesary replication can be avoided • Data Virtualization allows data to remain in place and can reduce overall maintenance costs. ■ Development agility enhanced across data silos • Building and publishing data services allows agile development and prototyping ■ Managing data access and quality is easier • Data Virtualization is “unified source of reference” for discovering, managing, and auditing data access with fine- grained security / authorization to access data assets
  65. 65. © 2013 Denodo Technologies Results You Can Expect from DV Better Quality Information  Focus on Business Information Needs  Integrate Disparate Data Silos  Include Web / Cloud, Big Data, Unstructured Lower Cost & Agility  Lower Integration Costs by 80%  Flexibility to Change  Real-time (on-demand) Data Services Fast Time to Solution  Projects in 4-6 Weeks  ROI in <6 months  Adds New IT and Business Capabilities
  66. 66. © 2013 Denodo Technologies Denodo – Focused Leader in Data Virtualization Forrester - Leader in Forrester WaveTM: Data Virtualization Gartner - Cool Vendor in Data Integration Bloor – Top 10 IT Companies to Watch The Burton Group – Best of Breed Data Virtualization InfoWorld - Best Mashup Server Information Management - Top 40 List for 2011 BioIT World- Best of Show 2011-12 Broadest Support for Data Sources, Highest Performance, Most Flexible Delivery, Agile Linked Data Services, Increased ROA
  67. 67. © 2013 Denodo Technologies Data Virtualization – More Resources • White Papers: High Value Uses of Data Virtualization- Analytical, Operational, Data Management http://go.denodo.com/datavirtualization_use_cases • World Series on Data Virtualization - Numerous Case Studies in 3 Languages http://www.denodo.com/en/resources/webcasts /dv_world_series_2011/index.php • Expert’s Perspectives - Analyst and Expert Webinars • Evaluation of Denodo Platform - Watch Online Demo - Pilot Evaluation Version - Partner Program
  68. 68. © 2013 Denodo Technologies
  69. 69. © 2013 Denodo Technologies

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