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DENODO LUNCH AND LEARN ASEAN
Enterprise Data Marketplace:
A Centralized Portal for All
Your Data Assets
Katrina Briedis
Sr. Product Marketing Manager, APAC
Agenda
DENODO LUNCH AND LEARN ASEAN
1. The Data Challenges Facing Users
2. How an Enterprise Data Marketplace Can Help
3. What is an Enterprise Data Marketplace?
4. Next Steps
Challenges
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
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
8
Long delays in finding
answers to business
problems, resulting in
longer time-to-value
Drivers for Organizational Investment
Business Challenges
Unable to perform data
analyses across disparate
data sources
Centralized data access
using physical
architecture created
bottlenecks
Resource constraints
around data workers
Lack of flexibility for
data scientists
Solution
Enterprise Data Marketplace
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
Denodo Platform: ONE Logical Platform for All Your Data
Logically Integrate, Manage, and Deliver Distributed Data
ANY DATA
SOURCE
ANY DATA
CONSUMER
ANY PLATFORM ENVIRONMENT
On-Premises | Cloud | Multi-Cloud | Containerized
Data Governance
Tools
BI Dashboard
Report and Tools
Data Science &
Machine Learning
Apps
Mobile &
Enterprise Apps
Microservices
Apps
DB, DW &
Data Lakes
Files
Cloud DB
& SaaS
Streaming
Data & IoT
Cube
Smart Query
Acceleration
AI/ML Recommendations
& Automation
Advanced Semantics
& Active Data
Catalog
Unified Security &
Governance
Logical Data
Abstraction
Real-Time Data
Integration
12
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
13
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
……………………….………………………………….
………………...……………………………………………
……………….…………………………………………..
………………..……………………………….
………………..…….…………………
………………….……
……………………………………………………..
………………………………………………………………
14
So, Let’s Have a Look…
15
1
2
3
4
5
6
7
8
9
10
GOVERNED DATA ACCESS
SAMPLE DATA
PROFILE DATA
DATA ASSOCIATIONS
DATA LINEAGE
PERSONALIZED SINGLE ACCESS POINT
COLLABORATE & SHARE
SEARCH & DISCOVER
ENRICH THE METADATA
USAGE/RECOMMENDATIONS
<data>
Enterprise Data Marketplace
16
Governed Data Access
17
Personalized Single Access Point
Personalized
recommendations and
shortcuts to most used
datasets.
Summary of catalog
and my queries
It’s possible to customize
logos, colors, fonts and
other elements
18
18
Search the catalog and refine your results using descriptions, tags and business categories
Search & Discover: Metadata
19
19
Integration with Lucene and ElasticSearch for indexing and performing keyword-base searches on content
Search&Discover:Content
20
Data Profiling
21
Data Preview and My Queries
22
22
Rich HTML descriptions, editable directly from the catalog
Extended metadata support to enrich the catalog with custom fields and details
Enrich the Metadata: Document your Models
23
Data Lineage: Where is the Data Coming From?
24
Associations: Other Related Data
25
Recommendations: Based on Data Usage
26
Fosters Collaboration & Sharing
Collaborative Features:
• Endorsements
• Deprecation Notices
• Warning Messages
• Tags and Categories
27
Key Takeaways
ü Unique combination virtual layer with data catalog
creates a powerful combo to empower end users in self-
service initiatives
ü Surfaces all company data in a single system and
provides a single version of truth
ü Reduces complexity to navigate ecosystem, protocols,
credentials, etc.
ü Offers innovative query acceleration techniques
adapted to the nature of self-service
ü Centralised security & governance
ü Improves reusability, documentation and governance
Next Steps
29
Get Started Today
Try Denodo for a Test Drive with a 30-
day free trial in the cloud marketplaces
CHOICE
Under your cloud account
SUPPORT
Community forum AND remote sales
engineer
OPPORTUNITY
30 minutes free consultation with
Denodo Cloud specialist
denodo.link/drive22
Denodo Global Cloud
Survey Report 2022
REGISTER FOR WEBINAR
denodo.link/cloudapac
Cloud Adoption and Usage for
Data and Analytics
– Trends and Best Practices
DOWNLOAD REPORT
denodo.link/Cloud
30 Jun 2022 1:00 PM SGT
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.

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Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets

  • 1. DENODO LUNCH AND LEARN ASEAN Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets Katrina Briedis Sr. Product Marketing Manager, APAC
  • 2. Agenda DENODO LUNCH AND LEARN ASEAN 1. The Data Challenges Facing Users 2. How an Enterprise Data Marketplace Can Help 3. What is an Enterprise Data Marketplace? 4. 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 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
  • 8. 8 Long delays in finding answers to business problems, resulting in longer time-to-value Drivers for Organizational Investment Business Challenges Unable to perform data analyses across disparate data sources Centralized data access using physical architecture created bottlenecks Resource constraints around data workers Lack of flexibility for data scientists
  • 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 Denodo Platform: ONE Logical Platform for All Your Data Logically Integrate, Manage, and Deliver Distributed Data ANY DATA SOURCE ANY DATA CONSUMER ANY PLATFORM ENVIRONMENT On-Premises | Cloud | Multi-Cloud | Containerized Data Governance Tools BI Dashboard Report and Tools Data Science & Machine Learning Apps Mobile & Enterprise Apps Microservices Apps DB, DW & Data Lakes Files Cloud DB & SaaS Streaming Data & IoT Cube Smart Query Acceleration AI/ML Recommendations & Automation Advanced Semantics & Active Data Catalog Unified Security & Governance Logical Data Abstraction Real-Time Data Integration
  • 12. 12 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
  • 13. 13 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 ……………………….…………………………………. ………………...…………………………………………… ……………….………………………………………….. ………………..………………………………. ………………..…….………………… ………………….…… …………………………………………………….. ………………………………………………………………
  • 14. 14 So, Let’s Have a Look…
  • 15. 15 1 2 3 4 5 6 7 8 9 10 GOVERNED DATA ACCESS SAMPLE DATA PROFILE DATA DATA ASSOCIATIONS DATA LINEAGE PERSONALIZED SINGLE ACCESS POINT COLLABORATE & SHARE SEARCH & DISCOVER ENRICH THE METADATA USAGE/RECOMMENDATIONS <data> Enterprise Data Marketplace
  • 17. 17 Personalized Single Access Point Personalized recommendations and shortcuts to most used datasets. Summary of catalog and my queries It’s possible to customize logos, colors, fonts and other elements
  • 18. 18 18 Search the catalog and refine your results using descriptions, tags and business categories Search & Discover: Metadata
  • 19. 19 19 Integration with Lucene and ElasticSearch for indexing and performing keyword-base searches on content Search&Discover:Content
  • 21. 21 Data Preview and My Queries
  • 22. 22 22 Rich HTML descriptions, editable directly from the catalog Extended metadata support to enrich the catalog with custom fields and details Enrich the Metadata: Document your Models
  • 23. 23 Data Lineage: Where is the Data Coming From?
  • 26. 26 Fosters Collaboration & Sharing Collaborative Features: • Endorsements • Deprecation Notices • Warning Messages • Tags and Categories
  • 27. 27 Key Takeaways ü Unique combination virtual layer with data catalog creates a powerful combo to empower end users in self- service initiatives ü Surfaces all company data in a single system and provides a single version of truth ü Reduces complexity to navigate ecosystem, protocols, credentials, etc. ü Offers innovative query acceleration techniques adapted to the nature of self-service ü Centralised security & governance ü Improves reusability, documentation and governance
  • 29. 29 Get Started Today Try Denodo for a Test Drive with a 30- day free trial in the cloud marketplaces CHOICE Under your cloud account SUPPORT Community forum AND remote sales engineer OPPORTUNITY 30 minutes free consultation with Denodo Cloud specialist denodo.link/drive22
  • 30. Denodo Global Cloud Survey Report 2022 REGISTER FOR WEBINAR denodo.link/cloudapac Cloud Adoption and Usage for Data and Analytics – Trends and Best Practices DOWNLOAD REPORT denodo.link/Cloud 30 Jun 2022 1:00 PM SGT
  • 31. 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.
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