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Openbravo in the Ecosystem: Integrate it into the Information System - Talend - Sandra Masse
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Openbravo in the Ecosystem: Integrate it into the Information System - Talend - Sandra Masse

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  • 1. Openbravo World Conference Open Source Data Integration for Openbravo Barcelona, April 17-19 2009 Speaker: Sandra Massé, Channel Manager EMEA, Talend
  • 2. Why Data Integration • ERP systems need to interoperate with the rest of the information system – Data volumes in exponential growth – Diversity, heterogeneity and quality of data sources (internal & external) – Upgrades by successive additions of layers • Import/export capabilities in Openbravo – No advanced, enterprise-capable data integration features • Typical data integration requirements: – Migration of data to Openbravo – Extraction of Openbravo data for reporting, business intelligence, etc. – Synchronization of Openbravo with other applications (ERP, shipping, accounting, invoicing, etc.) Page 2
  • 3. Data Integration Spectrum Data Data profiling Quality & cleansing Loading of decision support systems Data replication & Data synchronization integration Analytics (ETL) Application upgrade Data migration & capture Operational Integration Page 3
  • 4. Corporate Overview • Leading provider of open source data integration software – Making data integration solutions available to organizations of all sizes and for all integration needs • Venture-backed • Worldwide operations and users Page 4
  • 5. Business Highlights • A high adoption rate – 900,000 core product downloads – 4 million lifetime downloads – 20% register as users – 30% get automatic product upgrades 1 download of 50 new customers Talend Open Studio per month per minute Page 5
  • 6. Solution • Easy to download, evaluate, use, and maintain • Low initial cost of ownership • Scalable, flexible pricing and technology • Powerful functionality and superior performance • Accelerated development of new functionality through user community • Robust open source data integration solution built on the latest technologies Page 6
  • 7. Migration of Data to Openbravo • Migrate data from: – Legacy ERP/CRM – Reference data – Files – Emails – Etc. Legacy CRM Reference Data External Data Files Emails Page 7 Slide 7
  • 8. Challenges of Data Migration • High volumes of data – Processing of large amounts of individual data • Heterogeneity of the environment – Often involves legacy systems – Packaged applications, RDBMS, mainframes, files, etc. – Can involve external data sources (reference data) • Differences in data structures – Map the sources to the target – Aggregations, calculations, etc. • Maintain the consistency of old and new systems – May involve complex bi-directional synchronization Page 8 Slide 8
  • 9. Extraction of Openbravo Data (ETL) • Load Openbravo Data to: – Data Warehouse – Data Marts – OLAP Applications / Cubes OLAP • Along with all the other data ERP/CRM Finance Data Mart Production External Data Files Data Data Mart Warehouse Page 9 Slide 9
  • 10. Challenges of ETL • High volumes of data – Processing of large amounts of granular data (phone calls, banking transactions…) – Incremental load vs. complete reload • Disparity of sources – Numerous production systems – Packaged applications, RDBMS, mainframes, files, etc. – Internal and external data sources (reference data) • Multiplicity of targets – Data warehouse, data marts, OLAP, etc. • Complexity of transformations – Aggregations, calculations, statistical functions, etc. – Slowly Changing Dimensions • Trend toward real-time – Refresh more often – Always shorter load time windows Page 10
  • 11. Synchronization of Openbravo Data • Synchronize data between Openbravo and other systems – Real-time or batch – Operational data (e.g. orders, inventory…) – Reference/Master data (e.g. products prices, territories…) ERP Inventory Database Page 11 Slide 11
  • 12. Challenges of Synchronization • Restrict volumes of processed data – Requires Changed Data Capture (CDC) • Heterogeneity of the environment – Often involves legacy systems – Packaged applications, RDBMS, mainframes, files, etc. • Differences in data structures – Map the sources and the targets – Aggregations, calculations, etc. • Conflict management and resolution – Record update precedence or “record owner” Page 12 Slide 12
  • 13. Talend’s Integration Solutions • Fully integrated with Openbravo • Connects to 400 different sources and targets – Covers all systems Openbravo may need to interact with • Supports all data integration needs – Migration – ETL for Business Intelligence – Synchronization • Supports all latencies, volumes • Advanced transformations and mappings • Built-in data quality Page 13
  • 14. Open Source Changes the Game • Remove barriers of entry • Sharply reduce upfront costs • Leverage more available resources • Remove obstacles to deployment • Leverage more data Page 14
  • 15. Remove Barriers of Entry • Solution available for free, unrestricted download – Trial/proof-of-concept performed by the user – No need to allocate budget (use the free license) – Self-service community assistance (forum, bugtracker, wiki, etc.) • Buy only what you need, when you need it – No vendor lock-in – No pressure from vendor – No pricing per-CPU, per-source, per-target, etc. • When developing: buy Training, Support, Expertise, Enterprise features • When in production: buy Quality Insurance, Support, etc. – Only when actually needed Page 15
  • 16. Sharply Reduce Upfront Costs • No perpetual license costs – Core features available under GPL license – Open Source subscription for Enterprise features – Services subscription for value added services • Significantly lower costs than proprietary solutions – Ratio: from 1-to-5 to 1-to-20 or more Page 16
  • 17. Leverage More Available Resources • Standards-based solution – Code generator (no black box engine) – Standard and easy-to-learn user interface (Eclipse) – Standards-based connectivity • Distributed execution – Grid of commodity hardware – Leverage under-utilized systems – Leverage standard execution engines (Java, Perl, RDBMS) • Use existing resources – Human – no lengthy training required – Servers and systems – limit capital expenditures Page 17
  • 18. Remove Obstacles to Deployment • Get rid of: – Need for dedicated hardware – Exaggeratedly powerful servers – Per CPU costs – Per source cost – Per target cost – Vendor pressure • Deploy freely, without restrictions • Expand the use of the solution as needed • Start new projects without needing specific funding Page 18
  • 19. Leverage More Data • Data integration is about interoperability – Versatility and scalability – Access all data sources, even the most exotic ones – Leverage all the data • Supports any data source: – RDBMS – proprietary and open source – Packaged applications – Files – Web sources – <insert_your_data_source_here> • Must include native support: optimized dedicated protocoles • Can be extensible – Without vendor dependency Page 19
  • 20. • Thank You! • Contact info: Sandra Massé Chanel Manager EMEA smasse@talend.com Page 20