Advanced Data Modeling: Be Happier, Add More Value and Be More Valued

Transcription

1 Advanced Data Modeling: Be Happier, Add More Value and Be More Valued Karen Lopez Karen López, A frequent speaker on data modeling, data-driven methodologies and pattern data models. SQL Server MVP She wants you to love your data. 2 InfoAdvisors 1

2 Logistics Interruptions And Other Fun Exercises NDA/Confidentiality Feedback 3 About this Presentation Feel free to participate your opinion counts This is a non-technical presentation 4 InfoAdvisors 2

3 POLL: Who Are You? POLL: Who Are You? 5 POLL: Model Much? 6 InfoAdvisors 3

4 OVERVIEW OF THE TRADITIONAL DATA MODELING ENVIRONMENT 7 Data Modeling Process Tools Databases People Skills Background Attitude Culture Timing 8 InfoAdvisors 4

5 Does that still work? What does? What doesn t? Being Happier, an Overview Leaving 1985 Behind Where Are We, Though? Making a Difference in Small Ways [Data] Happiness Project Adding Value - Being Valued 10 InfoAdvisors 5

6 11 Exercise 1 WHAT ARE YOUR 5 TOP DATA SUCCESSES? 12 InfoAdvisors 6

7 PAIN POINTS FOR DATA ARCHITECTS 13 Karen s Pain Point I don t have enough current technical background to be a DBA or a Developer and sometimes that means I can t participate fully in technical decisions. 14 InfoAdvisors 7

8 Karen s Pain Point I work with a developer who thinks data models are unneeded on his project. 15 Karen s Pain Point I work with a data architect who has no database skills and can t work hands-on with our databases. 16 InfoAdvisors 8

9 Karen s Pain Point My data modeling tool doesn t support NoSQL databases 17 Karen s Pain Point My DBA doesn t care at all about data quality; he removes constraints and turns off RI in the database. He doesn t check to see if the application code compensates. 18 InfoAdvisors 9

10 Karen s Pain Point I don t know enough about Oracle to do a good first cut physical design. 19 karen@infoadvisors.com Exercise 2 WHAT ARE YOUR TOP BOTTOM 5 DATA PAIN POINTS? 20 InfoAdvisors 10

11 New Development Methods Agile / SCRUM Lean, Fast Code First Refactoring 21 How Big is Big? 3 Vs? 6 Vs? What does it mean? Big Data 22 InfoAdvisors 11

12 NoSQL, Not Only SQL Graph Databases Key Value Document Databases Others 23 Being Physical SQL Relational Extensions Working Up to Your Elbows with Data Being Polyglot 24 InfoAdvisors 12

13 Data Governance Governance Stewardship Dictatorships, Anarchies How to be Valuable 25 Data Modeling Tools Traditional DM tools Drawing tools Tools that Rev Engineer Databases Other tools 26 InfoAdvisors 13

14 Exercise 3 SHARE YOUR PAIN POINTS 27 Analysis 28 InfoAdvisors 14

15 X Y Urgency: Yesterday Whenever Important: High Low Impact: Enterprise Local Effort: High Low Scope: Corporation You Pain: Life Threatening Meh Risk: High Low??? 29 Exercise 4 ANALYZE POINTS 30 InfoAdvisors 15

16 LOVING YOUR DATA MODELS 31 Being Happier, The Details InfoAdvisors 16

17 Happiness Project Jan: Boost Energy Feb: Remember Love Mar: Aim Higher Apr: Lighten Up May: Be Serious about Play Jun: Make Time for Friends 33 Happiness Project Jul: Buy Some Happiness Aug: Contemplate the Heavens Sept: Pursue a Passion Oct: Pay Attention Nov: Keep a Contented Heart Dec: Boot Camp Perfect 34 InfoAdvisors 17

18 Resolution Matrix 35 Gretchen s 12 Commandments 1. Be Gretchen 2. Let it go 3. Act the way I feel 4. Do it now 5. Be polite and be fair 6. Enjoy the process 7. Spend out 8. Identify the problem 9. Lighten up 10.Do what ought to be done 11.No calculation 12.There is only love 36 InfoAdvisors 18

19 Exercise 5 CREATE A RESOLUTION MATRIX FOR THE NEXT 3 MONTHS 37 Splendid Truths To be happy, think about feeling good, feeling bad, and feeling right in an atmosphere of growth 38 InfoAdvisors 19

20 Feeling Happy, Feeling Bad Happy More Happy More Bad Bad Less Happy Less Bad 39 Splendid Truths The days are long, but the years are short 40 InfoAdvisors 20

21 Karen s DM Splendid Truths Bad News: No one will love the logical data model as much as the data modeler. Good News: No one will love the logical data model as much as the data modeler. 41 Karen s DM Splendid Truths Every good design decision is based on cost, benefit and risk 42 InfoAdvisors 21

22 Karen s DM Splendid Truths If you want the data model to be simple, go make the world simple. 43 Karen s Splendid Truths Your data modeling tools will impact design much more than you can ever imagine. 44 InfoAdvisors 22

23 Delivering Value in 2012 Documentation as a literary activity is 1985 Documentation should be generated (Do it in the Data Model or Process Model) Iterations, not huge deliverables Be a development method polyglot Use their tools, too. 45 Be Your Own CMO Have a Business story to tell Focus on Business success in status reports Cost, benefit, risk Know their pain and reflect it. Know their priorities and reflect it. Say Yes, I can do that, but 46 InfoAdvisors 23

24 10 Steps to Happiness, Being Valuable and Providing Value 1. Identify pain points and threats 2. Analyze 3. Prioritize 4. Build a Plan 1. Near term 2. Year term 5. Give gold stars (you and others) Steps to Happiness, Being Valuable and Providing Value 6. Keep Metrics 7. Report Metrics 8. Say Yes, I can do that. 9. Automate! 10. Overshare 48 InfoAdvisors 24

25 You were GREAT!.We should do this again. Thank You InfoAdvisors 25