Ten Pillars of World Class Data Virtualization

Suresh Chandrasekaran, Senior VP

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

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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”

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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

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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

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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/

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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/

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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/

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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/

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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

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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/

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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

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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/

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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!

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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: POC in 2013

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- “Game Changer” in 2015Enterprise Maturity: A client’s journey

Intel: DV Benefits, Detail Metrics

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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

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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

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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

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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.

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Is Denodo 6.0 Enterprise Ready? You Bet!

Public Sector

Financial Services

Telecommunications

Healthcare

Technology

Manufacturing

Insurance

Retail

Pharma / Biotech

Energy

Thanks!

www.denodo.com info@denodo.com