Composite Data Virtualization

© 2013 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1© 2013 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1

Cisco Data Virtualization(formerly Composite Software)

January 2014

David Besemer

© 2013 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2

Other Businesses

BusinessLeaders

Bus

ines

s Le

vera

ge o

f D

ata

Data

Business Leaders Take Advantage of Their Data

• Agility

• Cost Reduction

• Competitive Advantage

Objectives


Agenda

• How big data, analytics, and cloud computing are disrupting traditional data integration

• Cisco Data Virtualization Platform

• Customer use cases


Agenda





TransactionalApplications

OperationalStores

Data Warehousesand Marts

Business Intelligence

ETL

• One place to go for data

• Business view of data



OperationalStores



ETL“Big Data”

and NoSQLAnalytic Stores

SaaSApplications

WebServices

Self-service Analytics ESBs and App Servers

ETL

?



“Big Data”and NoSQL

Analytic Stores

OperationalStores


SaaSApplications

WebServices


Data Virtualization Platform

Abstract Federate Cache

• One logical place to go for data

• Business view of data

Self-service Analytics ESBs and App Servers


Before and After

Company Before After

BI projects took 3 - 4 months Days/Weeks

Management requestsfor data took weeks Hours/Days

100% data replication 20% replication


Agenda





Development Environment

Cisco’s Data Virtualization Platform

Cisco Information Server

Runtime Server Environment Management Environment

XML

Packaged Apps RDBMS Excel Files Data Warehouse OLAP Cubes Hadoop / “Big Data” XML Docs Flat Files Web Services

Data WarehouseExtend / Offload

Governance, Risk & Compliance


Customer Experience Management

Mergers & Acquisitions

Single View of Enterprise Data

Supply Chain Management Analytics

Discovery

Studio

Adapters

Manager

Monitor

Active Cluster


How Data Virtualization Works – Example Scenario

1) I need to build BI/Analytics application that looks like this…

2) The view or data service needs to look like this…

3) And the data comes from these sources, in these formats…



Studio

Discovery Within Design and Development

Design Steps

1. Introspect available data

2. Discover hidden relationships

3. Model individual view/service

4. Validate view/service

5. Modify as required

Benefits• Automates difficult work• Improves time to solution• Increases object reuse

Discovery



Data Virtualization Production

Production Steps1. Application invokes request2. Optimized query (single statement)

executes3. Deliver data in proper form

Benefits• Up-to-the-minute data• Optimized performance• Less replication required

Optimizer



Data Virtualization Production with Caching

Production Steps1. Cache essential data2. Application invokes request3. Optimized query (leveraging cached

data) executes4. Deliver data in proper form

Benefits• Boosts performance• Avoids network constraints• Allows 24x7 availability

CacheOptimizer


Data Virtualization and Hadoop

HDFS HDFS HDFS...

Data Virtualization Platform

① Make Hadoop data available to traditional SQL-based BI tools.

③ Provide enterprise data from traditional data sources directly to map-reduce jobs in Hadoop.

② Combine Hadoop data with enterprise data from traditional data sources.? Data Virtualization Platform


Agenda





Data Virtualization Enables Multiple IT StrategiesImproving Business Agility Through Integration

Unified Computing

Data Center Virtualization and Unified Fabric Architecture

Network and Data Center Consolidation

Public CloudPrivate CloudAutomationConsolidation Virtualization

Inter Cloud

Enterprise Cloud

Cloud Computing


• Built a data virtualization layer, based on the Cisco Data Virtualization Platform, to combine information from multiple disparate sources, relational databases, and data warehouses

• Experienced a 10X faster data integration development cycle

• Achieved a 90% reduction in integration development costs

• Increased productivity in administration and project management

• Obtain a comprehensive view of the background, current status, and availability of all human assets

• Gain visibility into personnel and project information

• Create an uniform standard for running and managing ongoing and completed projects

Cisco Data Virtualization Use CaseQualcomm

Service Solutions Impact on CustomerCustomer Challenge


• Used the Cisco Data Virtualization Platform as a virtual data store for Trades, Orders, Reports, Quotes, Cancels, Admins (TORQCA) data.

• Overcame data challenges, i.e., data that is too big, too ad hoc, too proprietary, too recent, too complex, too costly, too slow

• Reduced development costs

• Poor performance of “big” data access

• Poor availability and accessibility of data for users

• Poor integration of reference data

• Skills insufficiency


Cisco Data Virtualization Use CaseNYSE Euronext


• Utilized Cisco Data Virtualization Platform to create a “single source of truth” in which data is easily accessible and delivered in a timely manner

• 80% data object reuse

• Average query runtime performance < 0.5 second

• 50% less costly than legacy solutions in 1/3 of the time – saving $2 million per year

• Record number of business queries in a single day

• Enable an integrated, holistic, top-down analytical view of production and exploration assets while developing solutions to meet localized functional and geographical business needs

Cisco Data Virtualization Use CaseGlobal Oil & Gas Firm



Alternatives to Cisco Data Virtualization

• Continue with traditional data integration and management techniques (ETL, replication)–Time and cost are becoming unacceptable

–Cloud and big data trends demand a new approach

• Use lightweight “data stitching” built into some application platforms (Bus. Obj., Tableau)–Not scalable

–No reusability

• Select competitive data virtualization product: IBM, Informatica, Denodo–Won’t perform as well

–Not enterprise ready

–Brings unwanted baggage

Cisco offers the highest performance most scalable DV platform on the market.


ImmediateAccess

5-10x Faster

Up to 75% Cost Savings

Better Business InsightsEmpower people with instant access to all the data they want, the way they want it.

Improved AgilityRespond faster to ever changing analytics and BI needs.

Cost SavingsData virtualization’s streamlined approach reduces complexity and saves money.

“Big Data”

“The Cloud”

Data Warehouses

Operational Databases

EnterpriseApplications

Third Party Data

TheBusiness

TheBusiness

Summary: Data Virtualization Benefits


Thank you.

David Besemer <[email protected]>

Technology

Composite Data Virtualization