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Agenda1.Data Virtualization Evolution
2.Ten Pillars of “World-Class” DV
3.Enterprise Maturity: A Client’s Journey
4.Impacting CxO Priorities
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
Ten Pillars of ‘World Class’ Data VirtualizationWhat 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
1. Broad Data Source ConnectivityAccess any and every data source and virtualize with ease
100s of sources: Enterprise, Cloud, Big Data, Web, Files… +SDK
Graphical wizards, vendor-specificadapters – 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.bloghttp://www.datavirtualizationblog.com/?s=sources
Connection Wizard
5
2. Support Broad Use Cases and User TypesTop 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.bloghttp://www.datavirtualizationblog.com/data-virtualization-main-use-cases/
3. Flexible, Resilient Virtual Data ModelPast 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.bloghttp://www.datavirtualizationblog.com/thinking-outside-the-graph-data-virtualization-and-graph-databases/
7
4. Strong Integration CapabilitiesPowerhouse 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 andscript 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 typese.g. geo-spatial, semantic, fuzzy match
Find more details at: datavirtualization.bloghttp://www.datavirtualizationblog.com/extensibility-key-aspect-data-virtualization-platform/
8
5. Hybrid Execution – Real-time or Right-timeManual 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.bloghttp://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
6. Dynamic Query OptimizationBest 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.bloghttp://www.datavirtualizationblog.com/myths-in-data-virtualization-performance/
10
7. Robust Security - Integrated, Fine-grainedSupport 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.comhttp://www.denodo.com/en/document/case-study/how-pantex-used-data-virtualization-share-sensitive-information-across
11
8. Resource ManagementPrioritize 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.bloghttp://www.datavirtualizationblog.com/quality-of-service-in-your-business-apps/
12
9. Data GovernanceKnowledge 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.comhttp://www.denodo.com/en/media-coverage/leveraging-virtualization-streamline-data-management
13
10. Ease of Use Across Full Data LifecycleRapid 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.bloghttp://www.datavirtualizationblog.com/data-exploration-and-self-service-bi-welcome-to-the-dataweb/
14
15
Ten Pillars of ‘World Class’ Data VirtualizationReaching 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
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
Architecture & Use Cases
Development &
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
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
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
DataVirtualization
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. EnablingSelf-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
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
Is Denodo 6.0 Enterprise Ready? You Bet!
Public Sector
Financial Services
Telecommunications
Healthcare
Technology
Manufacturing
Insurance
Retail
Pharma / Biotech
Energy