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Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Data Architectures

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Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Data Architectures

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This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.

In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.

This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.

In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.

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Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Data Architectures

  1. 1. Data Virtualization: A Strategic IT Investment to Build Modern Enterprise Data Architectures
  2. 2. Content Why are Data Architectures Changing? Five Mandates for Data Architects & CDOs Data Virtualization at the Center of Data Initiatives Examples of Customer Use Cases & Success Stories Denodo Overview 2 1 2 3 4 5
  3. 3. Why are Data Architectures Changing?
  4. 4. Information Flow is Critical to Successful Business ... ... and Never More so than in Today’s Hypercompetitive Markets 4 Over the past 2 decades, companies have invested billions of dollars in 2 types of information systems:  Bulk movement of data into centralized repositories for reporting and analytics  Transactional data freeways between applications and business partners  Easy accessibility to real time information needed by the business or customers to make rapid decisions  The flexibility to accommodate technology realities and evolution  A unified framework to govern all data with common enterprise policies  A mechanism to reduce data replication and costs  Rapid time to market These systems do not provide:
  5. 5. 5 Corporate Data Landscape is Complex, Rapidly Growing Denodo Customer As of July 1, 2014 SQL Server DB2 Oracle Sybase IMS Teradata UDB 7598 Production Databases 20,609,606 Unique Data Element Names Across 450,000 Production Tables 2013 2023 2010 2015 2020 2025 World’s Data will grow by 50x in next decade IDC Internet of Things is Exploding Companies will be impacted by the explosive growth in the world’s data Clients will expect companies to manage and leverage vast amounts of data
  6. 6. Traditional Data Integration Tools fail to realize the requirements for a dynamic, real-time, data on-demand world 6 EAI/ESB Interpret Transform Route Application Application Application ETL Target/ Data Warehouse Load Transform Extract Data Source Data Source
  7. 7. • Discovery and self- service BI • Access to data and metadata in business terms • Canonical data models • Composable data services • New data types • New sources • New types of Analytics (Streaming, Predictive, etc.) • In addition to increased agility for traditional BI, needs, etc. • Multiple apps accessing common data • Multiple delivery styles, formats • Search, Browse or Query • REST Svcs • Logical data abstraction layer • Lineage and change impact • Metadata and data services sharing API • Data services catalog Key Industry Trends Have Been Setting the Stage … 7
  8. 8. Connect ... and Paves the Way for the Next Generation of Data Infrastructure 8 Combine & Integrate Connect & Virtualize Connect Connect disparate data from any source (Enterprise, Big Data, cloud, Excel) or location. Publish as a Data Service Combine Define data transformations and combinations that meet your business needs. Publish Deliver data services in real-time to your enterprise data consuming platforms. Operate with Enterprise-class Governance
  9. 9. Five Mandates for Data Architects and CDO’s
  10. 10. 1. Enable more data, more diverse. Be able to scale 2. Store cheaper …. minimize replication 3. Build flexible architectures – consider future change and evolution 4. Enforce enterprise governance - introspection, security, lineage, monitoring and auditing 5. Make data processes development/provisioning/operation easy, fast, low cost 10 Five Mandates for Data Architects & CDOs
  11. 11. Data Virtualization at the Center of Data Initiatives
  12. 12. ■ Modern View = Data Virtualization (DV) Enables Agility & Abstraction Across all Enterprise Information Management (DI, DQ, MDM, Big Data Analytics, Data Gov, Self-Service …) ■ Multiple use cases (Analytical, Operational, Data Migration, Data Services, Secure Sharing, etc.) ■ DV Permeates all critical initiatives in DM – Essential and Central to Modern Data Architectures A Modern Approach to Data Architectures Data Virtualization Data Governance Data Integration Data Quality MDM / Single View of Entity 12
  13. 13. Data Virtualization becomes the core piece for the Next Generation of Data Infrastructure Data Virtualization combines disparate data sources into a single “virtual” data layer that provides unified access, integrated data services to consuming applications in real-time, and centralized data management and governance 13
  14. 14. The Denodo Vision is Realized Through its Platform ... 14 DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users DataVirtualization 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 Multiple Protocols, Formats Linked Data Services Query, Search, Browse Request/Reply, Event Driven Secure Delivery
  15. 15. … and Provides a Compelling Value Proposition Better Quality Information  Focus on business information needs.  Include web / cloud, big data, unstructured, streaming.  Bigger volumes, richer/easier access to data. Better Data Integration  Lower integration costs by 80%.  Flexibility to change.  Real-time (on-demand) data services. Better Business Outcomes  Projects in 4-6 weeks.  ROI in <6 months.  Adds new IT and business capabilities. 15 Intel “Data virtualization proved an agile solution, requiring only one week to set up compared to the typical eight weeks it takes to implement a co-location solution. In performance, data virtualization posted better times than single source co-location.” Climate Corp “With one third the size of a team, I am seeing a 3x improvement in turn-around time for reports we are developing for our sales teams. Which is tremendous."
  16. 16. 4) Data Governance • Data Lineage and ‘Used By’ • Impact analysis for source schema change • Comprehensive auditing • Who, what, when, how 6) Architecture and Deployment Models • Coherent, integrated architecture • On-premise and cloud deployments • Distributed and hybrid deployments 5) Usability and End User Facing Functionality • Cohesive design and development environment • Full administrational management • End user self-service data discovery 2) Data Delivery • Multiple data delivery modes • Bulk, on-demand, message-based • Multiple latencies • Scheduled batch, real-time, event- based, hybrid 3) Metadata, Modeling, & Design • Top down and bottom up modeling • Physical-Logical mapping • Cross-model relationships • Metadata ingestion and sharing 1) Connectivity and Adapters • Extensive connectivity to data sources • Support for structured, unstructured, & multi-structured data • Transactional, bi-directional connectivity 16 Product Capabilities
  17. 17. Denodo at a Glance 19 Description Denodo offers unified access to corporate data assets, flexible integration and management of data of all kinds, and real time data delivery for applications and analytics in a single solution that doesn't need to move data from their original physical repositories. Headquarters Palo Alto, CA. Main offices in New York, London, Madrid and A Coruña. Satellite offices in Chicago, Boise, Houston and Munich. Worldwide sales network through partners. Leadership Longest continuous focus on data virtualization and data services. Product leadership. Solutions expertise. Customers 250+ customers, including many F500 and G2000 companies across key verticals, such as healthcare, life sciences, technology, media, telecommunications, insurance, financial services, consumer/retail, energy and public sector. Global presence with customers throughout North America, EMEA, APAC and Latin America.
  18. 18. Why Customers Select Denodo 21 Broad functionality and winning innovation in a fully integrated platform  Flexible and broad use cases – across any data source and user.  Integrated and purpose- built for data virtualization – very easy to develop / deploy / change all models. Proven higher performance in competitive POCs  Actual POCs against larger rivals quickly dispel virtualization myths.  More demonstrable, more transparency of optimization strategies. Exceptional pre-sales service and customer support  Technical expertise and response time rated best by customers.  Enhancement requests typically made available in days / weeks. Lower overall TCO and ROI  Address more use cases with a single platform.  Aggressive “all-in-one” pricing for entire platform; flexible pricing models.
  19. 19. Denodo – Leadership and Innovation 22 Forrester – Leader in Forrester Wave: Data Virtualization 2015 Gartner – Cool Vendor in Data Integration. Magic Quadrant Data Integration 2015 Frost & Sullivan – Awarded for Top Product Innovation 2014. Bloor – Top 10 IT Companies to Watch; Denodo Leads the Way. The Burton Group – Pretty Impressive! Best of Breed DV. Information Management – Top 40 List for 2011. Bio-IT World – Best of Show 2011. InfoWorld – Best Mashup Server. Denodo Enables Cable Company to Gain Competitive Advantage. Consistently Ranked a Leader. Noted for Innovation, Flexibility, Ease of Use, and ROI.
  20. 20. www.denodo.com info@denodo.com

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