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Agile, Automated, Aware: How to Model for Success

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Watch the companion webinar at: http://forms.embarcadero.com/AgileAutomatedAware

Data management teams face some tough challenges these days. Organizations need business-driven visibility that enables understanding and awareness of enterprise data assets – without worrying about definitions and change management. But with information architectures evolving, serving up accurately defined, reusable data can become a complex issue.

In this episode of The Briefing Room hosted by the Bloor Group, veteran analyst David Loshin explains the importance of agile, automated workflows in today’s enterprise data architectures. Ron Huizenga of Embarcadero discusses how the ER/Studio suite approaches data modeling and management from a modern architecture standpoint. He explains that unifying the way information is represented can not only eliminate the need for costly workarounds, but also foster collaboration between data architects, developers and business users.

Learn more about data modeling and data architecture with ER/Studio at http://www.embarcadero.com/products/er-studio.

Publicada em: Software
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Agile, Automated, Aware: How to Model for Success

  1. 1. EMBARCADERO TECHNOLOGIESEMBARCADERO TECHNOLOGIES Agile, Automated and Aware How to Model for Success Ron Huizenga Senior Product Manger – ER/Studio
  3. 3. EMBARCADERO TECHNOLOGIES ER/Studio: Agile Change Management • Enable “Agile Data Modeler” • Change Management Center – User stories /tasks • Granular repository check-out & check-in – Individual objects or sets of objects – Full models/sub-models if desired • Change records at check in (or check out) – Can be associated to user stories, tasks • Still fully supports named releases, branch & merge as well 3
  4. 4. EMBARCADERO TECHNOLOGIES ER/Studio: Change Management Center 4
  5. 5. EMBARCADERO TECHNOLOGIES ER/Studio: Change Record Details 5
  6. 6. EMBARCADERO TECHNOLOGIES Is the team responsible for data models included in your agile process? Data team’s inclusion in agile process incomplete Yes, completely 34% Somewhat 58% No 8% Does your organization follow an agile development methodology? Yes, fully 16% Yes, somewhat 57% No 27% 6
  7. 7. EMBARCADERO TECHNOLOGIES ER/Studio: Automation • Reverse engineering • Metadata interchange • Naming standards • Compare & merge • Forward Engineering • Macros • Glossary Integration 7
  8. 8. EMBARCADERO TECHNOLOGIES ER/Studio: Apply Naming Standards • Can invoke with other wizards – General Physical Model – Compare & Merge – XML Schema Generation – Model Validation • Can apply to model or sub-model at any time • Either Direction • Selective review/apply • Enabled by loose model coupling • Name lockdown (freeze names) 8
  9. 9. EMBARCADERO TECHNOLOGIES ER/Studio: Automatic Naming Standards 9 Real-time update while typing
  10. 10. EMBARCADERO TECHNOLOGIES 10 ER/Studio: Compare and Merge
  11. 11. EMBARCADERO TECHNOLOGIES ER/Studio: Native Big Data Support • MongoDB – Diagramming – Reverse & Forward Engineering (JSON, BSON) – MongoDB certification for 2.x and 3.0 • Certified for HDP 2.1 – Forward and reverse engineering – Hive DDL 11
  12. 12. EMBARCADERO TECHNOLOGIES ER/Studio: Extended Notation for MongoDB 12
  13. 13. EMBARCADERO TECHNOLOGIES • Powerful enterprise glossary, model & metadata collaboration • Integrate key business terms and definitions with business systems • View, store, and manage a single source of business definitions • Attach business policies to daily workflows with contextual alerts and tips ER/Studio: Business Collaboration 13
  14. 14. EMBARCADERO TECHNOLOGIES ER/Studio Team Server: Glossaries & Terms 14
  15. 15. EMBARCADERO TECHNOLOGIES ER/Studio: Glossary Integration 15
  16. 16. EMBARCADERO TECHNOLOGIES Database Tools Portfolio 16
  17. 17. EMBARCADERO TECHNOLOGIES Concluding Remarks • ER/Studio provides automation, awareness and collaboration – Agile change management – Documents “why” and “what” for the changes – Sharing of models and metadata – Awareness and business meaning through glossaries • Agile is becoming mainstream – 73% of companies use agile to some degree – Only 16% have fully embraced it • Crucial stakeholders aren’t fully involved – Of companies using Agile, only 34% fully involve data modelers – 58% involve them somewhat – 8% exclude them entirely 17