Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
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The document outlines the benefits and challenges of implementing an enterprise data marketplace, highlighting data silos, trust issues, and inefficiencies in data access and analytics. It describes the Denodo platform's capabilities for integrating and managing distributed data across various environments, emphasizing features such as governed data access, collaboration, and metadata enrichment. Key takeaways include the streamlined access to reliable data and improved self-service for users, ultimately enhancing organizational data usability and decision-making.
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
- 3. Challenges
- 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?
- 24. 24 Associations: Other Related Data
- 25. 25 Recommendations: Based on Data Usage
- 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
- 28. Next Steps
- 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 [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.