Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)

© 2013 Denodo Technologies

6 Sessions Covering Key Data Integration Challenges Solved with Data Virtualization

Session 1: Data Virtualization: An Introduction

Topics covered: *Making BI agile

*Integrating Big Data *Combining SOA and Data

Integration *Enhancing and Extending MDM

and DW *Creating a single view of your

customer


Today’s Speakers

■ Paul Moxon Senior Director, Product Management

■ Tom Forman Senior Solutions Consultant


Agenda

■ What is Data Virtualization and why is it important

■ How Data Virtualization enhances existing data

architectures

■ Demonstration of Data Virtualization capabilities

■ Summary

■ Q&A and Next Steps


Agenda



architectures


■ Summary



Enterprise Data Challenges Getting Bigger

Inventory System (MS SQL Server)

Log files (.txt/.log files)

CRM (MySQL)

Billing System (Web Service - Rest)

Big Data, Cloud (Hadoop, Web)

Product Catalog (Web Service -SOAP)

Customer Voice (Internet, Unstruc)

Product Data (CSV)

Exponential Data Growth

Data Silos

IT Complexity,

Rigidity

Inherent Latency

Move to Cloud

Unstructured & Web

High Costs

Agile BI, big data, cloud, real-time, unstructured… these are some of the trends driving need for a new data approach to complement existing ones


What is Data Virtualization?

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)

BASE VIEW

BASE VIEW

BASE VIEW

DERIVED VIEW

Connect &

Virtualize

Combine &

Integrate

Publish as a Data Service


Data Virtualization – Key Tenets

■ Realize Value from all Data • Universal data access across internal, external, web,

structured or unstructured

■ Virtualization Minimizes Replication

• Flexible integration options with fine control – virtual real-time, cached or scheduled batch

■ Abstracted and Unified Data Services

• Abstracted data delivered as reusable data services Managed access control, service levels

■ Enterprise Class – Powerful and Agile

• Performance and scalability • Data governance, lineage, management • Easily integrated into existing IT infrastructure


Agenda



architectures


■ Summary



Consumers

Sources

Data Virtualization – Key architectural capabilities

■ Abstraction – decouple data complexities from the business logic

■ Logical Representation – define canonical data models for business unit and enterprise

■ Centralized Governance – common model for security and data lineage

■ Real/Right-time Data Access – data on demand, cached or scheduled batch

■ Lighter Agile Integration – reusable models are easy to transform, combine, change

■ Reduced Replication Costs –

HW, SW, governance costs of unnecessary data replication

■ Integrates with Existing Tools – leveraged through hybrid models

ETL DW DM ODS

Virtual Data Layer


Data Virtualization Platform Architecture

Dat

a C

onsu

mer

s Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users

Dat

a Vi

rtua

lizat

ion 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

Dat

a So

urce

s

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


Data Virtualization Platform Architecture

Dat

a C

onsu

mer

s Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users

Dat

a Vi

rtua

lizat

ion 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

Dat

a So

urce

s

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


• 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

Typical Data Virtualization Use Cases

• DS for Mobile Apps

Agile Business Intelligence

Unified View

Big Data, Cloud Integration Data Services


Data Virtualization – Customers


Unified View



Data Virtualization – Customer Success

Cost savings of $600,000 and 15% ROI in 3 months

to deliver secure and timely manner

information

50% improvement in productivity with 75%

reduction in-store waiting times and 87% reduction

in errors due to manual data input

Access new data sources 60% faster

with change requests met in just a few days with IT using 40% less analyst time to support.

New suite of agile reports to sales &

management in 3X the speed with 1/3rd the team size


Unified View



Agenda



architectures


■ Summary



Agenda



architectures


■ Summary



Consumers

Sources

Data Virtualization – Key architectural capabilities

■ Abstraction – decouple data complexities from the business logic

■ Logical Representation – define canonical data models for business unit and enterprise

■ Centralized Governance – common model for security and data lineage

■ Real/Right-time Data Access – data on demand, cached or scheduled batch

■ Lighter Agile Integration – reusable models are easy to transform, combine, change

■ Reduced Replication Costs –

HW, SW, governance costs of unnecessary data replication

■ Integrates with Existing Tools – leveraged through hybrid models

Virtual Data Layer

ETL DW DM ODS


Better Quality Information Focus on business information needs

Integrate disparate data silos

Include Web/Cloud, Big Data, unstructured

Lower Cost & Increased Agility Lower integration costs by 80%

Flexibility to Change

Real-time (Right-time) Data Services

Fast Time to Solution Projects in 4-6 weeks

ROI in <6 months

Adds new IT and Business capabilities

Data Virtualization Benefits - Summary


Agenda



architectures


■ Customer Successes



Data Virtualization – Questions?


Data Virtualization - Next Steps

Move forward at your own pace Whitepaper: Data Virtualization Goes Mainstream – Solving Key Data

Integration Challenges Where Traditional Technologies Fall Short http://www.denodo.com/en/resources/whitepapers/data_virtualization/index.php

Attend Packed Lunch Webinar Sessions – Covering Data Virtualization

for…

Move forward with one of our Data Virtualization experts Phone: (877) 556-2531 | Email: [email protected]

www.denodo.com

Making BI Agile

Integrating Big Data

Combining SOA and Data Integration

Enhancing and Extending MDM and DW

Creating a Single View of Your Customer

http://www.denodo.com/en/resources/whitepapers/data_virtualization/index.php

mailto:[email protected]

http://www.denodo.com/

http://www.denodo.com/en/resources/webcasts/packed_lunch_series_agile_bi_strategy_na/em01.php

http://www.denodo.com/en/resources/webcasts/packed_lunch_series_big_data_na/em01.php

http://www.denodo.com/en/resources/webcasts/packed_lunch_series_capitalizing_soa_na/em01.php

http://www.denodo.com/en/resources/webcasts/packed_lunch_series_data_virtualization_dw_mdm_na/em01.php

http://www.denodo.com/en/resources/webcasts/packed_lunch_series_customer_view_na/em01.php


Next Session:

Topics covered: *Making BI agile

*Integrating Big Data *Combining SOA and Data

Integration *Enhancing and Extending MDM

and DW *Creating a single view of your

customer

Thank You!

Delivering an Agile BI Strategy with Data Virtualization Wednesday, May 14th 2014

http://www.denodo.com/en/resources/webcasts/packed_lunch_series_agile_bi_strategy_na/rf01.php

Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)

Data & Analytics

data universal data

data complexities

data virtualization

reusable data services

integrated data services

canonical data models

scalability data governance

disparate data sources