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Data Architecture a passion? A career? Or both?

Data Architecture a passion? A career? Or both?. Until you do what you believe in, you don't know whether you believe it or not. Leo Tolstoy. Agenda / Timing. Before the break The Ideas of Data Architecture The ROI of Data Architecture Ideas for keeping yourself employed After the break

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Data Architecture a passion? A career? Or both?

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  1. Data Architecture a passion? A career? Or both? Until you do what you believe in, you don't know whether you believe it or not.Leo Tolstoy

  2. Agenda / Timing • Before the break • The Ideas of Data Architecture • The ROI of Data Architecture • Ideas for keeping yourself employed • After the break • Your own experiences • Tweaking this presentation

  3. Data Architecture (what we are not) • The data management organization is viewed as a group of eccentrics with ersatz skill sets who aren’t nearly as vital to IT as the developers and data base administrators, or worse—viewed as a roadblock Jane Carbone - Infomajic LLC

  4. Data Architecture (what we are) • Business Partners • Data Savvy • Visionaries • Translators • Collaborators • Gate Keepers • Analysts • Integrators

  5. Data Architecture Dos & Don’ts • Be responsive – not ivory tower • Use the business’ terminology • Ask for feedback on the design • Patiently explain what you do • Ask or suggest don’t tell • Be prepared to give simple but clear trade-offs.

  6. Data Architecture ValueNormalizing • Eliminate repeating groups • No non-key attributes depend on a portion of the primary key. • No attributes depend on other non-key attributes.

  7. Data Architecture Valuevs Denormalizing • Intentionally duplicate data • Intentionally create summary data • Split tables into fewer rows • Split tables into fewer attributes

  8. Data Architecture ValueStandardization • Naming • Nomenclature, consistency • Data Dictionary Entries • Conceptual, Logical, Physical Models • Scripting

  9. Data Architecture ValuePerformance Tuning • No matter how much tuning you apply to the DBMS, it cannot compensate for a bad design. • Minimize table joins • Reduce excessive lookup or code tables • Keep key structures simple and numeric where possible • Be deliberate about string data • Identify Temp data and put in separate tables

  10. Data Architecture ValuePerformance Tuning • Speed of Data Load • Not null constraints slows loads • Domain Validation slows loads • Create only needed attributes • vs Query Speed • Denormalize as appropriate • Require Indexes on all Foreign Keys • Partition Large Tables • Make sure PK and not null columns are at front (top) of table.

  11. Data Architecture ROI • ROI is a comparison of benefits to cost expressed as a percentage of the original investment • Bigger isn’t always better or • Less is More • Understanding the Life Time Value of the Customer

  12. Data Architecture ROI ( examples) • Large Insurance Company, reduced $$ in reserves, once they understood the “real” amount they needed. • Current Retail data indicates which profiles of customers are most likely to buy, have bought recently, and project what kinds of products the company needs on hand • The Diaper and Beer analogy • Fraud Detection

  13. Data Architecture ROI (Public Social Systems) • In one East Coast City the average cost for Public housing intervention, decreased from $77,000 to $35,000. • A Virginia city was able to demonstrate the cost savings of keeping children in school, as relates to paying back in taxes rather than being on welfare • An elderly living at home project, was able to demonstrate that helping elderly get transportation averaged $300 per year versus $36,000 per year for institutions.

  14. Keeping your (DA) Job • Keep up your education (all facets) • Develop partnerships with Peers • Keep up networking opportunities like DAMA, DBUG or other professional organizations • Spend time staying business current • When feasible attend training or informational meetings that are peripheral to your job.

  15. Expanding your role • Data Quality Validation • Report Writing using the Company’s favored tool • A little ETL work • Data Digging for Data Dictionary • Project Leader / Planner

  16. In conclusion • Evaluate the place for Data Architecture in your environment • Creatively think of ideas showing ROI / Adding value • Take risks learning new job skills, to compliment your DA Passion.

  17. Questions & Ideas • Dawn Michels • Lead Data Architect • Past Pres DAMA MN • Past VP Chapter Services DAMAI • Adjunct Faculty Member College of St. Catherine • dawnmichels@fairisaac.com • 651-486-4626

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