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EMEA WEBINARS
Empowering your Enterprise
with a Self-Service Data
Marketplace
Speakers
Paul Moxon
SVP Data Architecture & Chief Evangelist
Denodo
Director, EMEA Sales Engineering
Denodo
Mark Pritchard
Agenda
1. The Data Challenges Facing Users
2. How a Data Marketplace Can Help
3. What is a Data Marketplace?
4. Denodo Data Catalog Demo
5. Customer Case Study
6. Q&A
7. Next Steps
4
Streaming
Analytics
Typical Analytical Ecosystem
Product Customer
Asset
Data Warehouse
Data Warehouse
Appliance
Master Data
Management
Real-time analytics
and decision
management
Data exploration
and investigation
Data mining, machine learning and
Deep Learning model development
Graph analysis
Traditional reporting
and analysis
Data mining and
model development
Advanced Analytics (Multi-Structured Data)
5
…Leading to Data Silos
Streaming
Analytics Data Warehouse
Data Warehouse
Appliance
Product Customer
Asset
Master Data
Management
Advanced
Analytics
Graph Database
Advanced
Analytics
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical Models
Tools/Apps
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Silo Silo Silo Silo Silo Silo Silo
Streaming Data Structured and
Multi-Structured
Data
Multi-Structured
Data
Multi-Structured
Data
CRM
ERP
SCM CRM
ERP
SCM CRM
ERP
SCM
Structured Data Structured Data Master Data
Management
6
Where Is My Data?
Web Content
Big Data Application
Graph Database
Relational
Databases
Cloud Storage
(S3, ADLS, GCS)
JSON/XML Files
SaaS Applications
Flat Files
Data Warehouse
Excel Spreadsheets
?
7
The Promise of Self-Service Tools
▪ Let business users access the data that they
need and stop IT being a bottleneck
▪ That’s the vision as sold by many BI tool and
Data Prep vendors
▪ i.e. give me the tools and access to the
data and stand back ☺
8
Challenges of Self-Service Initiatives
▪ Too many reports
▪ Duplicate reports
▪ Conflicting data
▪ Users don’t trust reports
▪ Data extract hell
NO STANDARDS OR GOVERNANCE
A TOWER OF BABEL
9
Building a Data Marketplace
Cloud Storage
(S3, ADLS, GCS)
SaaS Applications
Big Data Application
Relational
Databases
JSON/XML Files
Flat Files
Data Warehouse
Excel Spreadsheets
Graph Database
Data Virtualization
Data Catalog
10
Source: Mike Ferguson, Intelligent Business Strategies
A Data Marketplace contains ready-made, trusted, data and analytical
assets, available as services with common data names documented in a
business glossary, full metadata lineage, and that are tagged and organized
to make them easy to find, access, share, and reuse across the enterprise.
11
Data Marketplace Assets
Data Assets Virtual Data Assets SQL Queries Reports
Recommendations KPIs Data Services Dashboards
12
Questions Answered by Data Marketplace
Can I find the data I need?
Is the data trusted?
Is the data sensitive?
Does it have business value?
What do others think about the data?
Is there any related data I should know about?
How frequently is it used?
Who owns the data?
Search, faceted search, browse
Lineage, trust rating or tag
Controlled access to sensitive fields
Reviews or ratings
User comments and feedback
Data asset relationships
Usage metrics
Data owner information
………………………………….
.……………………………………………
…………………………………………..
……………………………….
…………………
……
…………………………………..
……………………………………………
13
Empowering Your Enterprise with a
Self-Service Data Marketplace
DATA CATALOG DEMO
14
Scenario
Data Catalog Demo
BigCo
Demo
16
Data Catalog Demo
Summary
▪ The shop front for consumers on the data
delivery layer
▪ Discover curated and relevant data sets
easily, promoting self-service and reuse of
the data
▪ Facilities quick but governed access to the
data needed, reducing dependency on IT
Customer Case Study
18
Leading Global Bank – Pain Points
Supporting
Multiple Data
Access Tools
Changing
Technologies
Data Lifecycle
Management
Data
Discovery
19
Leading Global Bank – Data Marketplace Objectives
DATA DISCOVERY
SECURITY
CONSISTENT
ACCESS INTERFACE
REDUCE BARRIERS TO ADOPTION
DATA ACCESS
AGILITY
02
03
04
05
06
01
20
Leading Global Bank – Data Marketplace
Data Virtualization Platform
Data Marketplace
Client & Account
Active Clients Client
Accounts
Party Summary
Positions & Holdings Securities & Pricing Market Data Hub Index & Benchmark
Systems of Record Data Lake Data Warehouse
with Business Semantic Layer
Virtual Data Lake
21
Leading Global Bank – Data Marketplace
DENODO DATA CATALOG
→ Categorization
→ Tagging
→ Models
→ Descriptions
→ Data Lineage
→ Metadata Search
→ Query Builder
Key Takeaways
1. Information architectures are getting more complex,
more diverse, and more distributed.
2. Finding the right data is a serious challenge for users.
3. Data virtualization is a fundamental technology for an
Enterprise Data Marketplace
4. …making it easier for users to search, browse and find
the data that they need
5. And also providing a rich environment for users to
collaborate and enrich the data – enhancing the
organizations understanding of the data and
maximizing the value of the data.
Key Takeaways
Q&A
25
Next Steps
Access Denodo Platform 8.0 in the Cloud!
Take a Free Trial today!
www.denodo.com/free-trials
GET STARTED TODAY
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.

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Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)

  • 1. EMEA WEBINARS Empowering your Enterprise with a Self-Service Data Marketplace
  • 2. Speakers Paul Moxon SVP Data Architecture & Chief Evangelist Denodo Director, EMEA Sales Engineering Denodo Mark Pritchard
  • 3. Agenda 1. The Data Challenges Facing Users 2. How a Data Marketplace Can Help 3. What is a Data Marketplace? 4. Denodo Data Catalog Demo 5. Customer Case Study 6. Q&A 7. Next Steps
  • 4. 4 Streaming Analytics Typical Analytical Ecosystem Product Customer Asset Data Warehouse Data Warehouse Appliance Master Data Management Real-time analytics and decision management Data exploration and investigation Data mining, machine learning and Deep Learning model development Graph analysis Traditional reporting and analysis Data mining and model development Advanced Analytics (Multi-Structured Data)
  • 5. 5 …Leading to Data Silos Streaming Analytics Data Warehouse Data Warehouse Appliance Product Customer Asset Master Data Management Advanced Analytics Graph Database Advanced Analytics Analytical Tools/Apps Analytical Tools/Apps Analytical Tools/Apps Analytical Tools/Apps Analytical Tools/Apps Analytical Tools/Apps Analytical Models Tools/Apps Data Integration Tools and Scripts Data Integration Tools and Scripts Data Integration Tools and Scripts Data Integration Tools and Scripts Data Integration Tools and Scripts Data Integration Tools and Scripts Silo Silo Silo Silo Silo Silo Silo Streaming Data Structured and Multi-Structured Data Multi-Structured Data Multi-Structured Data CRM ERP SCM CRM ERP SCM CRM ERP SCM Structured Data Structured Data Master Data Management
  • 6. 6 Where Is My Data? Web Content Big Data Application Graph Database Relational Databases Cloud Storage (S3, ADLS, GCS) JSON/XML Files SaaS Applications Flat Files Data Warehouse Excel Spreadsheets ?
  • 7. 7 The Promise of Self-Service Tools ▪ Let business users access the data that they need and stop IT being a bottleneck ▪ That’s the vision as sold by many BI tool and Data Prep vendors ▪ i.e. give me the tools and access to the data and stand back ☺
  • 8. 8 Challenges of Self-Service Initiatives ▪ Too many reports ▪ Duplicate reports ▪ Conflicting data ▪ Users don’t trust reports ▪ Data extract hell NO STANDARDS OR GOVERNANCE A TOWER OF BABEL
  • 9. 9 Building a Data Marketplace Cloud Storage (S3, ADLS, GCS) SaaS Applications Big Data Application Relational Databases JSON/XML Files Flat Files Data Warehouse Excel Spreadsheets Graph Database Data Virtualization Data Catalog
  • 10. 10 Source: Mike Ferguson, Intelligent Business Strategies A Data Marketplace contains ready-made, trusted, data and analytical assets, available as services with common data names documented in a business glossary, full metadata lineage, and that are tagged and organized to make them easy to find, access, share, and reuse across the enterprise.
  • 11. 11 Data Marketplace Assets Data Assets Virtual Data Assets SQL Queries Reports Recommendations KPIs Data Services Dashboards
  • 12. 12 Questions Answered by Data Marketplace Can I find the data I need? Is the data trusted? Is the data sensitive? Does it have business value? What do others think about the data? Is there any related data I should know about? How frequently is it used? Who owns the data? Search, faceted search, browse Lineage, trust rating or tag Controlled access to sensitive fields Reviews or ratings User comments and feedback Data asset relationships Usage metrics Data owner information …………………………………. .…………………………………………… ………………………………………….. ………………………………. ………………… …… ………………………………….. ……………………………………………
  • 13. 13 Empowering Your Enterprise with a Self-Service Data Marketplace DATA CATALOG DEMO
  • 15. Demo
  • 16. 16 Data Catalog Demo Summary ▪ The shop front for consumers on the data delivery layer ▪ Discover curated and relevant data sets easily, promoting self-service and reuse of the data ▪ Facilities quick but governed access to the data needed, reducing dependency on IT
  • 18. 18 Leading Global Bank – Pain Points Supporting Multiple Data Access Tools Changing Technologies Data Lifecycle Management Data Discovery
  • 19. 19 Leading Global Bank – Data Marketplace Objectives DATA DISCOVERY SECURITY CONSISTENT ACCESS INTERFACE REDUCE BARRIERS TO ADOPTION DATA ACCESS AGILITY 02 03 04 05 06 01
  • 20. 20 Leading Global Bank – Data Marketplace Data Virtualization Platform Data Marketplace Client & Account Active Clients Client Accounts Party Summary Positions & Holdings Securities & Pricing Market Data Hub Index & Benchmark Systems of Record Data Lake Data Warehouse with Business Semantic Layer Virtual Data Lake
  • 21. 21 Leading Global Bank – Data Marketplace DENODO DATA CATALOG → Categorization → Tagging → Models → Descriptions → Data Lineage → Metadata Search → Query Builder
  • 23. 1. Information architectures are getting more complex, more diverse, and more distributed. 2. Finding the right data is a serious challenge for users. 3. Data virtualization is a fundamental technology for an Enterprise Data Marketplace 4. …making it easier for users to search, browse and find the data that they need 5. And also providing a rich environment for users to collaborate and enrich the data – enhancing the organizations understanding of the data and maximizing the value of the data. Key Takeaways
  • 24. Q&A
  • 25. 25 Next Steps Access Denodo Platform 8.0 in the Cloud! Take a Free Trial today! www.denodo.com/free-trials GET STARTED TODAY
  • 26. 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.