MarkLofic Pecha Kucha
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Pecha Kucha presentation on MarkLogic for Digital Media metadata. Pecha Kucha is a format with 20 slides, each slide intended to be 20 seconds. In this presentation I outline the case for better asset metadata access and search and show examples of MarkLogic Server in action with digital assets.
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MarkLofic Pecha Kucha
- 1. CreateaspherePechaKucha:MarkLogic Server and Asset InformationMatt Turner, Principal Media Technologist March 2nd, 2011
- 2. Learn How MarkLogic Server Can Help You Bring Together Asset Information Deliver Applications to your Users
- 3. About MarkLogic and Me About MarkLogic 280+ direct customers Media, Government, Financial Services 250+ employees Silicon Valley, Austin, Boston, Frankfurt, London, New York, Washington DC Flagship product is purpose-built database for unstructured information Patented, award-winning technology About Me Principal Media Technologist Been with MarkLogic since 2005 Worked at Sony Music, Sony Music VC and PC World
- 4. Purpose-built database for unstructured information Provides the agility you need to build and deploy next-generation information applications
- 5. Unstructured Information RDBMS MarkLogic Information Continuum XML Metadata Geospatial Graph Free text Relational Emails Documents Time-varying Sparse Hierarchical Semi-structured Content Unstructured Structured
- 6. Who Has Unstructured Information? Media Customers Government Customers Financial Services and Other Customers
- 7. What Can You Do With Unstructured Information?
- 8. What Can You Do With Unstructured Information?
- 9. What Can You Do With Unstructured Information?
- 10. What Can You Do With Unstructured Information?
- 11. What Can You Do With Unstructured Information?
- 12. How About Asset Information? Metadata Many different schemas and sources Infinitely possible elements Other information Transcripts Product Information Rights Usages External Information Partners usage Piracy data Only all combined metadata for an asset tells it’s whole story
- 13. What can you do with it? Bring it all together DAM Systems Production Systems Loading Other Systems
- 14. What can you do with it? Bring it all together DAM Systems Production Systems Loading Other Systems
- 15. What can you do with it? Deliver Applications Find Assets DAM Systems Select Assets Production Systems Loading Application APIs Other Systems Package + Distribute
- 16. What can you do with it? Deliver Applications Find Assets DAM Systems Select Assets Production Systems Loading Application APIs Other Systems Package + Distribute
- 17. What can you do with it Solve your asset information problems Find Assets DAM Systems Select Assets Production Systems Loading Application APIs Other Systems Package + Distribute
- 18. MarkLogic Server The industry’s leading database for unstructured information Store Full DMBS with XML data model Can store any schema ‘as-is’ Manage Information Studio to load and transform XQuery + XSLT (W3C standards) Search Full-text, XML, parametric search Analytics, Geospatial, Alerts Deliver Application Builder to create applications Delivery to a wide variety of output formats and devices XML, JSON
- 19. 2 Steps versus 10 Get all ‘Potter’ titles in Atom format Get all ‘Potter’ titles in Atom format Application Server Application Server RDBMS Search Engine (indexes) XQuery / XSLT PL/SQL JVM XML and Indexes Tables (XML column) MarkLogic Server:Search, transformation and database in a single system Traditional Database and Search Engine Search, Storage and XML Processing need to be coordinated and coded
- 20. Purpose-built database for unstructured information Provides the agility you need to build and deploy next-generation information applications
- 21. Thank You! Come visit our table for more information Matt Turner Principal Media Technologist MarkLogic Corporationmatt.turner@marklogic.com
Notes de l'éditeur
- MarkLogic’s flagship products is a purpose-built database for unstructured information. When we talk about unstructured information, this is our shorthand for information that does not easily fit in rows and columns and tables. If you take xml as an example, it is usually highly structured but anyone who has gone through an exercise of trying to store it in a relational database and then run queries against it at speed and scale, usually has a strong sense of pride and accomplishment at the end of the project. We aim to make that much easier with significant improvements in performance and scalability.
- Fragments being final allows easy incremental updates