Modeling Webinar: State of the Union for Data Innovation - 2016
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The document discusses the state of data modeling, highlighting the evolving tools and methodologies used in the industry. It emphasizes the need for greater engagement and collaboration among data modelers and addresses the challenges in recruiting new professionals. Additionally, it reflects on innovations in data technology and how they could influence future data modeling practices.
Modeling Webinar: State of the Union for Data Innovation - 2016
- 1. Karen Lopez @datachick #HeartData Heart of Data Modeling State of the Union 2016
- 2. Yes, Please do Tweet/Share today’s event @datachick #heartdata
- 3. You are the panelist ...so let’s get to know you….
- 4. POLL: Audience Who are you?
- 5. POLL: DM Teams Full time data modelers (using a broad definition of this role): How has this number changed in your organization?
- 6. Panelists, Time for YOU Use Q&A for formal questions Use chat to discuss with each other
- 7. Data Modeling Tools Where have we been, where are we now
- 8. Thanks to David Dichmann, SAP Matt Creason, SAP Neil Buchwalter, CA Danny Sandwell, CA Joy Ruff, Embarcadero/Idera Ron Huizenga, Embarcadero/Idera
- 9. Thanks to Anoymous Data Modelers working in the trenches
- 11. What’s new ER/Studio? Business Data Objects. •A way to group entities and table for reuse. Expand or contract. For example, All the ORDER entities/tables together. Merging Teamserver and repository databases •No more syncing. Agile change management features.
- 12. What’s new PowerDesigner? Business glossary Enterprise wide data model Collaboration more important Conceptual, enterprise wide, single version of the truth, governance
- 13. What’s new ERwin? data governance specific features and capabilities •metadata – wherever that metadata is created and/or is •operationalize governance rules and processes •create transparency, enable control and ensure consistency of data assets
- 14. Vendor Comments • Big vendors don't want to be in specialized Data Modeling Tool business any longer • Tying data models to architecture, into the business, data decisions, KPIs, connections at that level is the focus • Vendors do a good job around their own RDMBs • On Open Source tools: You get what you pay for. While true open source can be a good approach to leverage common or proven technical components, the value is in how those components are integrated and orchestrated for the end user.
- 15. Vendor Comments – Open Source Tools • You get what you pay for. While true open source can be a good approach to leverage common or proven technical components, the value is in how those components are integrated and orchestrated for the end user • Current FOSS has much more restricted set of capabilities. Considerable resources and R&D is required to do full round trip data modeling and business user functionality.
- 16. Vendor Comments – NoSQL Data Modeling • Industry leaning towards UML-models and tools to support non-relational databases • We believe that the prevalent use cases for NoSQL/”Big Data” data modeling are documentation, analysis and integration. • The lack of “schema on write” has allowed NoSQL practitioners to avoid the time-tested rigor of data modeling. As NoSQL modeling use cases mature (as in the early days of RDBMS) new notations and/oruse of modified ER notations will be developed that better serve this market.
- 17. Notation IE/Crowsfeet IDEF1X Barker UML Class Diagram Pretty, pretty clouds
- 18. Database Support Traditional DBMSs •SQL Server •Oracle •DB2 •Sybase •MS Access & FoxPro •Informix Other Datastores •MySQL •Windows Azure SQL DB •Hadoop/Hive •MongoDB •Vertica* •XML •Netezza •Greenplum •Teradata
- 20. Poll: Devices How many devices do you have (both work and personal) that you’d want to view or use data modeling tools on?
- 21. Portals & User Engagement Publish or Perish More than just printing Clickable Self Service Model Use User Engagement User Commenting User Modeling Voting Sharing Modeler Support Alerting and Monitoring Interactions Timeshifting Fewer Meetings, More Modeling
- 22. POLL: Modeling Portals Do you have a data modeling portal?
- 23. Special Features (Karen’s Wish List)
- 24. Panelists, Time for YOU Use Q&A for formal questions & comments Use chat to discuss with each other What special features would you like to see in your data modeling tools? What features do you have that you love to use?
- 25. Special Features Better Integration w/Other products More User Engagement More love for data models More Modelers True data asset support Touch optimized Gestures Finger-ready Inking features More non-Modeler interaction Commenting Updating with workflow Enhanced visualizations KPIs, Dashboards, Reporting
- 26. Special Features Greater support for non-relational datastores and databases Round trip, not just import New notations? What Else, Panelists? Enhancements to existing notations Arcs (Or) Subtyping What Else, Panelists? More platforms Linux Mac Mobile Devices
- 27. Methods and Approaches Old, New, Borrowed, Blue
- 28. Data Modeling Methods and Approaches Traditional Waterfall/Strict Waterfall Agile/SCRUM/XP Data Gov/Stewardship/Business Analytics/NoSQL Fragile/WaterBoard/SCUM/NoModel
- 29. POLL: Modern Methods Do you work on any Agile/SCRUM/XP/Lean/Modern Methods Projects?
- 30. Data Modeling Resources More than just tools….
- 32. The Industry Acquisitions…and non-Acquisitions Community Editions Open Source Non-Windows Data Modeling Tools Web/Browser-based
- 33. Panelists, Time for YOU Use Q&A for formal questions & comments Use chat to discuss with each other Did the acquisition news affect your data modeling programs in 2015? How?
- 34. The Data Modeling Community User Groups Forums and sites and online communities Twitter and social media “Experienced” Conferences & Events
- 35. Industry & Community: Karen’s Wish List More Sharing •Blogging (So needed) •Be in the discussions •Engage with bloggers and others •Tips & tricks More Contributions •DMBOK (DAMA.org) •Standards Bodies (ISDMs, DM standards) •User Groups (DAMA, SQLPASS, IDUG, ODUG, etc.) •Speakers (EDW, other events) •Panelists (RIGHT HERE!)
- 36. Panelists, Time for YOU Use Q&A for formal questions & comments Use chat to discuss with each other Where do you get help for data modeling issues? Have you considered blogging/sharing your tips?
- 37. Panelists, Time for YOU Use Q&A for formal questions & comments Use chat to discuss with each other What’s keeping you from being part of online data modeling discussions? {yes, time…what else?}
- 38. Panelists, Time for YOU Use Q&A for formal questions & comments Use chat to discuss with each other What data modeling resolutions will you be making for 2016? Do you see more data modeling or less in 2016?
- 39. Karen’s Observations • Vendors are placing greater emphasis on strategic, enterprise data projects in their toolset feature lists • Physical data modeling features still required, but NoSQL and product variations impact how much can be done • Data Modelers are getting old. We aren’t recruiting new professionals and we are running short on experienced people as retirement becomes real. • Training is mostly self-serve, with just a handful of organizations offering formal hands-on training • Professional standards are still being developed and driven by vendors. This is not how a profession should lead
- 40. Having said that… • 2016 – Still the Year of Data • Exciting innovations in the data world mean business is more focused on data projects and technologies. • Tablets, Touch Screens, VR, AR will make a difference in how people want to work with data and metadata • It’s still an exciting time to Love Your Data
- 41. http://edw2016.dataversity.net http://nosql2016.dataversity.net/ Half Day: 7 Databases in 170 Minutes SIG: ER/Studio and Data Modeling Special Interest Group Panel: Data Modeling & NoSQL Moderator Session: The Tricky Part of Doing Tricky Things in your Data Model …and likely some other fun things!
- 42. Thank you, you were great. Let’s do this next month! Karen Lopez @datachick #heartdata