SlideShare a Scribd company logo
Getting Started with Data
Virtualization – What problems DV
solves
Richard Walker, VP of Enterprise Sales, Denodo
2
Problem: IT Architecture is Unmanageable
Traditional
Issues
Hi-Data
Growth,
IT Complexity,
Data Silos,
Hi - Latency
New Trends
Real Time,
Big Data,
Unstructured
Data,
External Data,
Move to Cloud
Log files
(.txt/.log files)
CRM
(MySQL)
Billing System
(Web Service - Rest)
Big Data, Cloud
(Hadoop, Web)
Inventory System
(MS SQL Server)
Product Catalog
(Web Service -SOAP)
Customer Voice
(Internet, Unstruc)
Product Data
(CSV)
ETL
3
Solution: Data Virtualization (DV) = Middleware + DB Technology
Bus. Models - DV is the set of
rules and mappings that
converts Raw Data into
Business Information and
Links Info together.
Optimized Query Process -
Queries are done in real time
so that data is always current
& eliminates data replication.
Ent. Governance & Security -
Data is filtered based on roles
& privileges.
4
4 Key Industry Trends Guides Denodo
• Discovery and self-
service BI
• Access to data and
metadata in
business terms
• Canonical data
models
• BigData
• New data types
• New sources:
Hadoop, Spark, etc.
• In addition to
increased agility for
traditional BI,
needs, etc.
• SaaS
• Data
Distribution
• Multiple delivery
styles, formats
• REST Services
• Logical data
abstraction layer
• Lineage and change
impact
• Metadata and data
services sharing API
• Data services
catalog
V6.0
5
Unlimited Connectivity to Any Data Type
Relational DB’s: Oracle, DB2, Sybase, MS SQL Server, MySQL, PostgreSQL, Informix, MS Access…
Parallel DB’s & Appliances: Teradata, Netezza, Oracle Exadata, Sybase IQ, Greenplum, ParAccel…
Multidimensional OLAP Engines: SAP BW, MS SQL Server Analysis Services, Mondrian, Essbase…
SOAP / REST Web Services and Data Feeds: XML, RSS, ATOM, JSON, Odata, Delimited Files – CSV, log files, device feeds, ...
Enterprise Applications: SAP R3 / ECC, Oracle E-Business suite,, Siebel, PeopleSoft, SAS...
Content Management Sys (CMS): MS SharePoint, IBM FileNet, Documentum…
Modeling Tools: Erwin, Rochade, ER Studio…
MDM & Mapping: IBM Initiate, ontologies, taxonomies…
Mainframe / Legacy Connectivity: Adabas, IMS, DB2, TN5250 / TN3270.
Plug-in architecture: third party Mainframe / Legacy Adapters...
Semantic repositories in Triple Stores / RDF accessed via SPARQL endpoints
LDAP and Active Directory: as source data & security access
Big Data / NoSQL: Hadoop, Hive, HCatalog, Impala, Scoop, HBase, PIG, HDFS, MapReduce, AVRO, HDFS, Mongo DB, CouchDB, Neo4J, Cassandra, MarkLogic…
Cloud, SaaS: Salesforce, Google, Amazon, LinkedIn, Facebook, Twitter via APIs; Any Website, Form, any Web based Apps…
Enterprise Service Bus: JMS message queues, WebSphere MQ, Sonic, ActiveMQ…
Custom Connector SDK: access any application via API and procedural interfaces.
Semi-Structured Data: Web sites, Forms, applications, PDF, MS Word, MS Excel
Unstructured Data: websites, file systems, Email servers, databases, knowledgebase, indexes (Lucene, MS FAST, HP Autonomy…), RSS Feeds …
6
Unified Data Layer in the 3 tier Architecture
User interface
Business logic
Data access/data infrastructure
SOA-based
services
Data
Virtualization
SOA/ESB
On-premise Cloud External
Transaction Data Analytics
Logical
Business
Views
Pervasive
user
interactions
Web Mobile Pervasive
Web
7
Complementary Data Integration Architectures
On Demand - DB to App
Data Federation from multiple sources
Event Based - App to App
Message-based, transaction processing
Scheduled – DB to DB
Bulk data integration
DV EAI/ESB ETL
DV DV
Target/
Data WH
ESB
ESB
8
DV Platform: Business Drivers
Accelerate Project Timelines
 Abstraction Layer: De-couple Applications from Enterprise Data – Protect daily operations
 Deploy Faster
 Use Less Resources
 Unified Access to disparate data sources
 Minimize data replication, less storage, no ETL
 Reuse Canonical Model for multiple projects
 Easy Big Data/NoSQL data integration with enterprise data sources
Operational ‘Real-time’ Reporting
 360 Degree View of all business data entities
 Offer secure business views filtering data by role and privileges
 Real time data access, read & write
 Support for operational applications
Business Controlled Self Service & Data Discovery
 Ad hoc query, browse, and search for Business Users in a secure way
 Data presented in a ‘business friendly’ informational format
 Drill down through all business associations via links & subscriptions
9
Denodo ROI
Customer Reported Project Savings by Percentage
• Data Integration Cost Reduction
• 60% - 67% Savings
• Traditional, Call Centers, Portals
• 30-70% Savings
• BI & Reporting
• 40-60% Savings
• ETL & DW
• Project timelines reduced from 6-12 months to 3-
6 weeks
• 85% Time Reduction
Thanks!
www.denodo.com info@denodo.com
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical,
including photocopying and microfilm, without prior the written authorization from Denodo Technologies.

More Related Content

What's hot (20)

Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0
Denodo
 
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...Analyst View of Data Virtualization: Conversations with Boulder Business Inte...
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...
Denodo
 
Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)
Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)
Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)
Denodo
 
Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...
Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...
Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...
Denodo
 
Denodo Data Virtualization - IT Days in Luxembourg with Oktopus
Denodo Data Virtualization - IT Days in Luxembourg with OktopusDenodo Data Virtualization - IT Days in Luxembourg with Oktopus
Denodo Data Virtualization - IT Days in Luxembourg with Oktopus
Denodo
 
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
Denodo
 
Why Data Virtualization? An Introduction by Denodo
Why Data Virtualization? An Introduction by DenodoWhy Data Virtualization? An Introduction by Denodo
Why Data Virtualization? An Introduction by Denodo
Justo Hidalgo
 
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBData Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Denodo
 
Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)
Denodo
 
Best Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best PracticesBest Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best Practices
Denodo
 
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo
 
Applying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to HealthcareApplying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to Healthcare
Paul Boal
 
Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)
Denodo
 
Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)
Denodo
 
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationMaximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Denodo
 
Implementing Data Virtualization for Data Warehouses and Master Data Manageme...
Implementing Data Virtualization for Data Warehouses and Master Data Manageme...Implementing Data Virtualization for Data Warehouses and Master Data Manageme...
Implementing Data Virtualization for Data Warehouses and Master Data Manageme...
Denodo
 
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Denodo
 
Govern and Protect Your End User Information
Govern and Protect Your End User InformationGovern and Protect Your End User Information
Govern and Protect Your End User Information
Denodo
 
Why Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionWhy Data Virtualization? An Introduction
Why Data Virtualization? An Introduction
Denodo
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
Denodo
 
Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0Technical Demonstration - Denodo Platform 7.0
Technical Demonstration - Denodo Platform 7.0
Denodo
 
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...Analyst View of Data Virtualization: Conversations with Boulder Business Inte...
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...
Denodo
 
Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)
Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)
Big Data with Data Virtualization (session 3 from Packed Lunch Webinar Series)
Denodo
 
Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...
Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...
Denodo Data Virtualization Platform architecture: Data Discovery and Data Gov...
Denodo
 
Denodo Data Virtualization - IT Days in Luxembourg with Oktopus
Denodo Data Virtualization - IT Days in Luxembourg with OktopusDenodo Data Virtualization - IT Days in Luxembourg with Oktopus
Denodo Data Virtualization - IT Days in Luxembourg with Oktopus
Denodo
 
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?
Denodo
 
Why Data Virtualization? An Introduction by Denodo
Why Data Virtualization? An Introduction by DenodoWhy Data Virtualization? An Introduction by Denodo
Why Data Virtualization? An Introduction by Denodo
Justo Hidalgo
 
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBData Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESB
Denodo
 
Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)Secure Your Data with Virtual Data Fabric (ASEAN)
Secure Your Data with Virtual Data Fabric (ASEAN)
Denodo
 
Best Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best PracticesBest Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best Practices
Denodo
 
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo
 
Applying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to HealthcareApplying Big Data Superpowers to Healthcare
Applying Big Data Superpowers to Healthcare
Paul Boal
 
Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)Why Data Mesh Needs Data Virtualization (ASEAN)
Why Data Mesh Needs Data Virtualization (ASEAN)
Denodo
 
Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)Data Virtualization: From Zero to Hero (Middle East)
Data Virtualization: From Zero to Hero (Middle East)
Denodo
 
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationMaximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Denodo
 
Implementing Data Virtualization for Data Warehouses and Master Data Manageme...
Implementing Data Virtualization for Data Warehouses and Master Data Manageme...Implementing Data Virtualization for Data Warehouses and Master Data Manageme...
Implementing Data Virtualization for Data Warehouses and Master Data Manageme...
Denodo
 
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
Denodo
 
Govern and Protect Your End User Information
Govern and Protect Your End User InformationGovern and Protect Your End User Information
Govern and Protect Your End User Information
Denodo
 
Why Data Virtualization? An Introduction
Why Data Virtualization? An IntroductionWhy Data Virtualization? An Introduction
Why Data Virtualization? An Introduction
Denodo
 
Fast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow PresentationFast Data Strategy Houston Roadshow Presentation
Fast Data Strategy Houston Roadshow Presentation
Denodo
 

Viewers also liked (19)

How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...
Denodo
 
Jboss Teiid - The data you have on the place you need
Jboss Teiid - The data you have on the place you needJboss Teiid - The data you have on the place you need
Jboss Teiid - The data you have on the place you need
Jackson dos Santos Olveira
 
SQL In/On/Around Hadoop
SQL In/On/Around Hadoop SQL In/On/Around Hadoop
SQL In/On/Around Hadoop
DataWorks Summit
 
Denodo DataFest 2016: Big Data Virtualization in the Cloud
Denodo DataFest 2016: Big Data Virtualization in the CloudDenodo DataFest 2016: Big Data Virtualization in the Cloud
Denodo DataFest 2016: Big Data Virtualization in the Cloud
Denodo
 
Accelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data VirtualizationAccelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data Virtualization
Denodo
 
Data Virtualization Deployments: How to Manage Very Large Deployments
Data Virtualization Deployments: How to Manage Very Large DeploymentsData Virtualization Deployments: How to Manage Very Large Deployments
Data Virtualization Deployments: How to Manage Very Large Deployments
Denodo
 
Denodo DataFest 2016: What’s New in Denodo Platform – Demo and Roadmap
Denodo DataFest 2016: What’s New in Denodo Platform – Demo and RoadmapDenodo DataFest 2016: What’s New in Denodo Platform – Demo and Roadmap
Denodo DataFest 2016: What’s New in Denodo Platform – Demo and Roadmap
Denodo
 
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo
 
JBoss Enterprise Data Services (Data Virtualization)
JBoss Enterprise Data Services (Data Virtualization)JBoss Enterprise Data Services (Data Virtualization)
JBoss Enterprise Data Services (Data Virtualization)
plarsen67
 
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT IntegrationDenodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo
 
Powering Self Service Business Intelligence with Hadoop and Data Virtualization
Powering Self Service Business Intelligence with Hadoop and Data VirtualizationPowering Self Service Business Intelligence with Hadoop and Data Virtualization
Powering Self Service Business Intelligence with Hadoop and Data Virtualization
Denodo
 
Comparison of Open Source Virtualization Technology
Comparison of Open Source Virtualization TechnologyComparison of Open Source Virtualization Technology
Comparison of Open Source Virtualization Technology
Benoit des Ligneris
 
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo
 
Data Virtualization Reference Architectures: Correctly Architecting your Solu...
Data Virtualization Reference Architectures: Correctly Architecting your Solu...Data Virtualization Reference Architectures: Correctly Architecting your Solu...
Data Virtualization Reference Architectures: Correctly Architecting your Solu...
Denodo
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
Denodo
 
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dataconomy Media
 
Big Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data InitiativesBig Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data Initiatives
Denodo
 
Virtualizing Hadoop
Virtualizing HadoopVirtualizing Hadoop
Virtualizing Hadoop
Rommel Garcia
 
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesEducation Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Denodo
 
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...
How to Achieve Fast Data Performance in Big Data, Logical Data Warehouse, and...
Denodo
 
Jboss Teiid - The data you have on the place you need
Jboss Teiid - The data you have on the place you needJboss Teiid - The data you have on the place you need
Jboss Teiid - The data you have on the place you need
Jackson dos Santos Olveira
 
Denodo DataFest 2016: Big Data Virtualization in the Cloud
Denodo DataFest 2016: Big Data Virtualization in the CloudDenodo DataFest 2016: Big Data Virtualization in the Cloud
Denodo DataFest 2016: Big Data Virtualization in the Cloud
Denodo
 
Accelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data VirtualizationAccelerating Fast Data Strategy with Data Virtualization
Accelerating Fast Data Strategy with Data Virtualization
Denodo
 
Data Virtualization Deployments: How to Manage Very Large Deployments
Data Virtualization Deployments: How to Manage Very Large DeploymentsData Virtualization Deployments: How to Manage Very Large Deployments
Data Virtualization Deployments: How to Manage Very Large Deployments
Denodo
 
Denodo DataFest 2016: What’s New in Denodo Platform – Demo and Roadmap
Denodo DataFest 2016: What’s New in Denodo Platform – Demo and RoadmapDenodo DataFest 2016: What’s New in Denodo Platform – Demo and Roadmap
Denodo DataFest 2016: What’s New in Denodo Platform – Demo and Roadmap
Denodo
 
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo DataFest 2016: ROI Justification in Data Virtualization
Denodo DataFest 2016: ROI Justification in Data Virtualization
Denodo
 
JBoss Enterprise Data Services (Data Virtualization)
JBoss Enterprise Data Services (Data Virtualization)JBoss Enterprise Data Services (Data Virtualization)
JBoss Enterprise Data Services (Data Virtualization)
plarsen67
 
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT IntegrationDenodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo
 
Powering Self Service Business Intelligence with Hadoop and Data Virtualization
Powering Self Service Business Intelligence with Hadoop and Data VirtualizationPowering Self Service Business Intelligence with Hadoop and Data Virtualization
Powering Self Service Business Intelligence with Hadoop and Data Virtualization
Denodo
 
Comparison of Open Source Virtualization Technology
Comparison of Open Source Virtualization TechnologyComparison of Open Source Virtualization Technology
Comparison of Open Source Virtualization Technology
Benoit des Ligneris
 
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo
 
Data Virtualization Reference Architectures: Correctly Architecting your Solu...
Data Virtualization Reference Architectures: Correctly Architecting your Solu...Data Virtualization Reference Architectures: Correctly Architecting your Solu...
Data Virtualization Reference Architectures: Correctly Architecting your Solu...
Denodo
 
Data Virtualization: An Introduction
Data Virtualization: An IntroductionData Virtualization: An Introduction
Data Virtualization: An Introduction
Denodo
 
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dataconomy Media
 
Big Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data InitiativesBig Data Fabric: A Recipe for Big Data Initiatives
Big Data Fabric: A Recipe for Big Data Initiatives
Denodo
 
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesEducation Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Education Seminar: Self-service BI, Logical Data Warehouse and Data Lakes
Denodo
 
Ad

Similar to Getting Started with Data Virtualization – What problems DV solves (20)

The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenariosThe Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
kcmallu
 
Modern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationModern Data Management for Federal Modernization
Modern Data Management for Federal Modernization
Denodo
 
Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)
Denodo
 
Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台
Etu Solution
 
Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)
Denodo
 
How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?
James Serra
 
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
StampedeCon
 
Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...
Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...
Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...
SoftServe
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to Hero
Denodo
 
Virtualisation de données : Enjeux, Usages & Bénéfices
Virtualisation de données : Enjeux, Usages & BénéficesVirtualisation de données : Enjeux, Usages & Bénéfices
Virtualisation de données : Enjeux, Usages & Bénéfices
Denodo
 
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
Denodo
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
James Serra
 
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...
Hortonworks
 
Trivadis Azure Data Lake
Trivadis Azure Data LakeTrivadis Azure Data Lake
Trivadis Azure Data Lake
Trivadis
 
Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...
Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...
Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...
Denodo
 
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Denodo
 
NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation
NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation
NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation
NRB
 
NRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data Federation
NRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data FederationNRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data Federation
NRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data Federation
NRB
 
Creating a Modern Data Architecture for Digital Transformation
Creating a Modern Data Architecture for Digital TransformationCreating a Modern Data Architecture for Digital Transformation
Creating a Modern Data Architecture for Digital Transformation
MongoDB
 
Building a modern data warehouse
Building a modern data warehouseBuilding a modern data warehouse
Building a modern data warehouse
James Serra
 
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenariosThe Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarios
kcmallu
 
Modern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationModern Data Management for Federal Modernization
Modern Data Management for Federal Modernization
Denodo
 
Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)Data Virtualization. An Introduction (ASEAN)
Data Virtualization. An Introduction (ASEAN)
Denodo
 
Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台Track B-1 建構新世代的智慧數據平台
Track B-1 建構新世代的智慧數據平台
Etu Solution
 
Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)Data Virtualization: Introduction and Business Value (UK)
Data Virtualization: Introduction and Business Value (UK)
Denodo
 
How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?
James Serra
 
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
StampedeCon
 
Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...
Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...
Big Data Analytics: Reference Architectures and Case Studies by Serhiy Haziye...
SoftServe
 
Data Virtualization: From Zero to Hero
Data Virtualization: From Zero to HeroData Virtualization: From Zero to Hero
Data Virtualization: From Zero to Hero
Denodo
 
Virtualisation de données : Enjeux, Usages & Bénéfices
Virtualisation de données : Enjeux, Usages & BénéficesVirtualisation de données : Enjeux, Usages & Bénéfices
Virtualisation de données : Enjeux, Usages & Bénéfices
Denodo
 
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
Denodo
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
James Serra
 
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...
Hortonworks
 
Trivadis Azure Data Lake
Trivadis Azure Data LakeTrivadis Azure Data Lake
Trivadis Azure Data Lake
Trivadis
 
Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...
Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...
Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...
Denodo
 
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Denodo
 
NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation
NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation
NRB - BE MAINFRAME DAY 2017 - Data spark and the data federation
NRB
 
NRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data Federation
NRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data FederationNRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data Federation
NRB - LUXEMBOURG MAINFRAME DAY 2017 - Data Spark and the Data Federation
NRB
 
Creating a Modern Data Architecture for Digital Transformation
Creating a Modern Data Architecture for Digital TransformationCreating a Modern Data Architecture for Digital Transformation
Creating a Modern Data Architecture for Digital Transformation
MongoDB
 
Building a modern data warehouse
Building a modern data warehouseBuilding a modern data warehouse
Building a modern data warehouse
James Serra
 
Ad

More from Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Denodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
Denodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
Denodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
Denodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
Denodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Denodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
Denodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Denodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
Denodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
Denodo
 
Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Denodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
Denodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
Denodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
Denodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
Denodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Denodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
Denodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Denodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
Denodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
Denodo
 

Recently uploaded (20)

Your startup on AWS - How to architect and maintain a Lean and Mean account
Your startup on AWS - How to architect and maintain a Lean and Mean accountYour startup on AWS - How to architect and maintain a Lean and Mean account
Your startup on AWS - How to architect and maintain a Lean and Mean account
angelo60207
 
Down the Rabbit Hole – Solving 5 Training Roadblocks
Down the Rabbit Hole – Solving 5 Training RoadblocksDown the Rabbit Hole – Solving 5 Training Roadblocks
Down the Rabbit Hole – Solving 5 Training Roadblocks
Rustici Software
 
End-to-end Assurance for SD-WAN & SASE with ThousandEyes
End-to-end Assurance for SD-WAN & SASE with ThousandEyesEnd-to-end Assurance for SD-WAN & SASE with ThousandEyes
End-to-end Assurance for SD-WAN & SASE with ThousandEyes
ThousandEyes
 
Agentic AI: Beyond the Buzz- LangGraph Studio V2
Agentic AI: Beyond the Buzz- LangGraph Studio V2Agentic AI: Beyond the Buzz- LangGraph Studio V2
Agentic AI: Beyond the Buzz- LangGraph Studio V2
Shashikant Jagtap
 
“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...
“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...
“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...
Edge AI and Vision Alliance
 
Introduction to Typescript - GDG On Campus EUE
Introduction to Typescript - GDG On Campus EUEIntroduction to Typescript - GDG On Campus EUE
Introduction to Typescript - GDG On Campus EUE
Google Developer Group On Campus European Universities in Egypt
 
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdfcnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
AmirStern2
 
FCF- Getting Started in Cybersecurity 3.0
FCF- Getting Started in Cybersecurity 3.0FCF- Getting Started in Cybersecurity 3.0
FCF- Getting Started in Cybersecurity 3.0
RodrigoMori7
 
TrustArc Webinar - 2025 Global Privacy Survey
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc Webinar - 2025 Global Privacy Survey
TrustArc Webinar - 2025 Global Privacy Survey
TrustArc
 
Data Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any ApplicationData Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any Application
Safe Software
 
ISOIEC 42005 Revolutionalises AI Impact Assessment.pptx
ISOIEC 42005 Revolutionalises AI Impact Assessment.pptxISOIEC 42005 Revolutionalises AI Impact Assessment.pptx
ISOIEC 42005 Revolutionalises AI Impact Assessment.pptx
AyilurRamnath1
 
Azure vs AWS Which Cloud Platform Is Best for Your Business in 2025
Azure vs AWS  Which Cloud Platform Is Best for Your Business in 2025Azure vs AWS  Which Cloud Platform Is Best for Your Business in 2025
Azure vs AWS Which Cloud Platform Is Best for Your Business in 2025
Infrassist Technologies Pvt. Ltd.
 
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfHow Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
Rejig Digital
 
“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...
“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...
“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...
Edge AI and Vision Alliance
 
AI Agents in Logistics and Supply Chain Applications Benefits and Implementation
AI Agents in Logistics and Supply Chain Applications Benefits and ImplementationAI Agents in Logistics and Supply Chain Applications Benefits and Implementation
AI Agents in Logistics and Supply Chain Applications Benefits and Implementation
Christine Shepherd
 
6th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 20256th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 2025
DanBrown980551
 
Jira Administration Training – Day 1 : Introduction
Jira Administration Training – Day 1 : IntroductionJira Administration Training – Day 1 : Introduction
Jira Administration Training – Day 1 : Introduction
Ravi Teja
 
Introduction to Internet of things .ppt.
Introduction to Internet of things .ppt.Introduction to Internet of things .ppt.
Introduction to Internet of things .ppt.
hok12341073
 
Mastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025Mastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025
Safe Software
 
Improving Developer Productivity With DORA, SPACE, and DevEx
Improving Developer Productivity With DORA, SPACE, and DevExImproving Developer Productivity With DORA, SPACE, and DevEx
Improving Developer Productivity With DORA, SPACE, and DevEx
Justin Reock
 
Your startup on AWS - How to architect and maintain a Lean and Mean account
Your startup on AWS - How to architect and maintain a Lean and Mean accountYour startup on AWS - How to architect and maintain a Lean and Mean account
Your startup on AWS - How to architect and maintain a Lean and Mean account
angelo60207
 
Down the Rabbit Hole – Solving 5 Training Roadblocks
Down the Rabbit Hole – Solving 5 Training RoadblocksDown the Rabbit Hole – Solving 5 Training Roadblocks
Down the Rabbit Hole – Solving 5 Training Roadblocks
Rustici Software
 
End-to-end Assurance for SD-WAN & SASE with ThousandEyes
End-to-end Assurance for SD-WAN & SASE with ThousandEyesEnd-to-end Assurance for SD-WAN & SASE with ThousandEyes
End-to-end Assurance for SD-WAN & SASE with ThousandEyes
ThousandEyes
 
Agentic AI: Beyond the Buzz- LangGraph Studio V2
Agentic AI: Beyond the Buzz- LangGraph Studio V2Agentic AI: Beyond the Buzz- LangGraph Studio V2
Agentic AI: Beyond the Buzz- LangGraph Studio V2
Shashikant Jagtap
 
“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...
“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...
“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presenta...
Edge AI and Vision Alliance
 
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdfcnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
AmirStern2
 
FCF- Getting Started in Cybersecurity 3.0
FCF- Getting Started in Cybersecurity 3.0FCF- Getting Started in Cybersecurity 3.0
FCF- Getting Started in Cybersecurity 3.0
RodrigoMori7
 
TrustArc Webinar - 2025 Global Privacy Survey
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc Webinar - 2025 Global Privacy Survey
TrustArc Webinar - 2025 Global Privacy Survey
TrustArc
 
Data Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any ApplicationData Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any Application
Safe Software
 
ISOIEC 42005 Revolutionalises AI Impact Assessment.pptx
ISOIEC 42005 Revolutionalises AI Impact Assessment.pptxISOIEC 42005 Revolutionalises AI Impact Assessment.pptx
ISOIEC 42005 Revolutionalises AI Impact Assessment.pptx
AyilurRamnath1
 
Azure vs AWS Which Cloud Platform Is Best for Your Business in 2025
Azure vs AWS  Which Cloud Platform Is Best for Your Business in 2025Azure vs AWS  Which Cloud Platform Is Best for Your Business in 2025
Azure vs AWS Which Cloud Platform Is Best for Your Business in 2025
Infrassist Technologies Pvt. Ltd.
 
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfHow Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
Rejig Digital
 
“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...
“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...
“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation f...
Edge AI and Vision Alliance
 
AI Agents in Logistics and Supply Chain Applications Benefits and Implementation
AI Agents in Logistics and Supply Chain Applications Benefits and ImplementationAI Agents in Logistics and Supply Chain Applications Benefits and Implementation
AI Agents in Logistics and Supply Chain Applications Benefits and Implementation
Christine Shepherd
 
6th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 20256th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 2025
DanBrown980551
 
Jira Administration Training – Day 1 : Introduction
Jira Administration Training – Day 1 : IntroductionJira Administration Training – Day 1 : Introduction
Jira Administration Training – Day 1 : Introduction
Ravi Teja
 
Introduction to Internet of things .ppt.
Introduction to Internet of things .ppt.Introduction to Internet of things .ppt.
Introduction to Internet of things .ppt.
hok12341073
 
Mastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025Mastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025
Safe Software
 
Improving Developer Productivity With DORA, SPACE, and DevEx
Improving Developer Productivity With DORA, SPACE, and DevExImproving Developer Productivity With DORA, SPACE, and DevEx
Improving Developer Productivity With DORA, SPACE, and DevEx
Justin Reock
 

Getting Started with Data Virtualization – What problems DV solves

  • 1. Getting Started with Data Virtualization – What problems DV solves Richard Walker, VP of Enterprise Sales, Denodo
  • 2. 2 Problem: IT Architecture is Unmanageable Traditional Issues Hi-Data Growth, IT Complexity, Data Silos, Hi - Latency New Trends Real Time, Big Data, Unstructured Data, External Data, Move to Cloud Log files (.txt/.log files) CRM (MySQL) Billing System (Web Service - Rest) Big Data, Cloud (Hadoop, Web) Inventory System (MS SQL Server) Product Catalog (Web Service -SOAP) Customer Voice (Internet, Unstruc) Product Data (CSV) ETL
  • 3. 3 Solution: Data Virtualization (DV) = Middleware + DB Technology Bus. Models - DV is the set of rules and mappings that converts Raw Data into Business Information and Links Info together. Optimized Query Process - Queries are done in real time so that data is always current & eliminates data replication. Ent. Governance & Security - Data is filtered based on roles & privileges.
  • 4. 4 4 Key Industry Trends Guides Denodo • Discovery and self- service BI • Access to data and metadata in business terms • Canonical data models • BigData • New data types • New sources: Hadoop, Spark, etc. • In addition to increased agility for traditional BI, needs, etc. • SaaS • Data Distribution • Multiple delivery styles, formats • REST Services • Logical data abstraction layer • Lineage and change impact • Metadata and data services sharing API • Data services catalog V6.0
  • 5. 5 Unlimited Connectivity to Any Data Type Relational DB’s: Oracle, DB2, Sybase, MS SQL Server, MySQL, PostgreSQL, Informix, MS Access… Parallel DB’s & Appliances: Teradata, Netezza, Oracle Exadata, Sybase IQ, Greenplum, ParAccel… Multidimensional OLAP Engines: SAP BW, MS SQL Server Analysis Services, Mondrian, Essbase… SOAP / REST Web Services and Data Feeds: XML, RSS, ATOM, JSON, Odata, Delimited Files – CSV, log files, device feeds, ... Enterprise Applications: SAP R3 / ECC, Oracle E-Business suite,, Siebel, PeopleSoft, SAS... Content Management Sys (CMS): MS SharePoint, IBM FileNet, Documentum… Modeling Tools: Erwin, Rochade, ER Studio… MDM & Mapping: IBM Initiate, ontologies, taxonomies… Mainframe / Legacy Connectivity: Adabas, IMS, DB2, TN5250 / TN3270. Plug-in architecture: third party Mainframe / Legacy Adapters... Semantic repositories in Triple Stores / RDF accessed via SPARQL endpoints LDAP and Active Directory: as source data & security access Big Data / NoSQL: Hadoop, Hive, HCatalog, Impala, Scoop, HBase, PIG, HDFS, MapReduce, AVRO, HDFS, Mongo DB, CouchDB, Neo4J, Cassandra, MarkLogic… Cloud, SaaS: Salesforce, Google, Amazon, LinkedIn, Facebook, Twitter via APIs; Any Website, Form, any Web based Apps… Enterprise Service Bus: JMS message queues, WebSphere MQ, Sonic, ActiveMQ… Custom Connector SDK: access any application via API and procedural interfaces. Semi-Structured Data: Web sites, Forms, applications, PDF, MS Word, MS Excel Unstructured Data: websites, file systems, Email servers, databases, knowledgebase, indexes (Lucene, MS FAST, HP Autonomy…), RSS Feeds …
  • 6. 6 Unified Data Layer in the 3 tier Architecture User interface Business logic Data access/data infrastructure SOA-based services Data Virtualization SOA/ESB On-premise Cloud External Transaction Data Analytics Logical Business Views Pervasive user interactions Web Mobile Pervasive Web
  • 7. 7 Complementary Data Integration Architectures On Demand - DB to App Data Federation from multiple sources Event Based - App to App Message-based, transaction processing Scheduled – DB to DB Bulk data integration DV EAI/ESB ETL DV DV Target/ Data WH ESB ESB
  • 8. 8 DV Platform: Business Drivers Accelerate Project Timelines  Abstraction Layer: De-couple Applications from Enterprise Data – Protect daily operations  Deploy Faster  Use Less Resources  Unified Access to disparate data sources  Minimize data replication, less storage, no ETL  Reuse Canonical Model for multiple projects  Easy Big Data/NoSQL data integration with enterprise data sources Operational ‘Real-time’ Reporting  360 Degree View of all business data entities  Offer secure business views filtering data by role and privileges  Real time data access, read & write  Support for operational applications Business Controlled Self Service & Data Discovery  Ad hoc query, browse, and search for Business Users in a secure way  Data presented in a ‘business friendly’ informational format  Drill down through all business associations via links & subscriptions
  • 9. 9 Denodo ROI Customer Reported Project Savings by Percentage • Data Integration Cost Reduction • 60% - 67% Savings • Traditional, Call Centers, Portals • 30-70% Savings • BI & Reporting • 40-60% Savings • ETL & DW • Project timelines reduced from 6-12 months to 3- 6 weeks • 85% Time Reduction
  • 10. Thanks! www.denodo.com [email protected] © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.