Adventures of a Development DBA: Iterative Development
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1 Adventures of a Development DBA: Iterative Development Presented By Michael Lynott etransitions, Inc. 11 Grist Mill Road Lebanon, NJ Tel: (800) /28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 1
2 What is Iterative Development? Divide an application deliverable into smaller, usable pieces then build them oneat-a-time. Over the years: Agile Development RAD (Rapid Application Development) Spiral Methodology RUP (Rational Unified Process) 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 2
3 Daily Chaos or? Traditional: Fully analyze data and processes Detailed technical design Build Iterative Development: Analyze a portion Design & Build Analyze more Modify design & Build Repeat until done! Start coding, in the meantime, I ll go see what the users want! 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 3
4 Principles of Iterative Methodologies Fixed-length Iterations Timebox approach to scoping Needs a strategy level definition to set scope Number of iterations defined up-front Typical length between 4 10 weeks Vulnerable to incomplete deliverables Phased Deliverables Length of time defined by selected scope Traditional approach Number of iterations unknown Each iteration length varies based on scope Vulnerable to creeping featuritis 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 4
5 Remember the Fast Food Fallacy No difference plus No difference plus No difference = A clear difference (eventually) 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 5 G. M. Weinberg (Secrets of Consulting)
6 Role of the Data Modeler Traditional: Model entire business area Obtain agreement on all attribute details Use a significant portion of allocated project time Iterative Development Model pre-defined portion of business Obtain agreement on important attribute details Educated guesses on lesser attribute details Use predetermined portion of allocated iteration time 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 6
7 Role of the Development DBA Traditional: Design physical database Create tables, columns, constraints Support development of packages & procedures (Grumble about changes to schema after initial design!) Iterative Development: Design physical database Multiple schemas for iteration conversion Plan for multiple copies of packages & procedures Utilities for schema changes & test data migration 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 7
8 Challenges of project structure How many iterations? How to set the scope of each iteration? Time for each iteration? Deliverables of each iteration? Test data generation and migration Frequency of changes to schemas App Developer to DBA: Can you just change the data type of this column? We ve got to have it today! 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 8
9 Setting up the Environments Development Test Production Data Migration area? Challenge: Progressing development components from one environment to the next 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 9
10 Managing Development and Test data Kinds of data: Reference data e.g. pick lists, classifications Base data e.g. data fundamental to application e.g. customers, products Migrated data from legacy systems New data created by application 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 10
11 Managing Development and Test data Which categories of data to migrate from dev to test? Data volumes between dev and test? How to keep PK values consistent between dev and test? Migrating data from dev to test? Data Integration with other apps? 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 11
12 Staging of Development Code Code categories: Packages, procedures and views in database Middleware code (Websphere, 9iAS) Program code (Java, plug-ins, client-side) Issues: Configuration of a release from dev to test? Synchronizing changes between code categories 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 12
13 Staging of Reference Data Where is reference data initiated production or development? Migrate it or share reference data tables (via synonyms)? Constraints on reference data or rule-based checking? Keep PK id s consistent? Migrating constraint-dependent data order of tables based on FKs 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 13
14 Code Control for Database Objects Managing versions of database-based code e.g. procedures, packages, views Shared views, procedures etc between applications Integration conflicts with other apps 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 14
15 Staging of Test Data Which data categories to migrate? Keep PK id s consistent? Migrating constraint-dependent data order of tables based on FKs Tools like Toad Data Manager? 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 15
16 Data Modeling Challenges Modeling with blinders Strict adherence to scope of iteration Accepting that change is inevitable with each iteration Considering issues beyond scope results in defeating timebox 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 16
17 Data Modeling Challenges Being less pedantic about details Agreement only on important attributes wing it with lesser attributes Use past experience (if you have any!) Don t sweat details like length database features makes changes easy! 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 17
18 Development DBA challenges Multiple schemas Frequency of migration from one environment to next Responsible for migrating data and database-based code Synchronizing migration of program and middleware code 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 18
19 Project Management Challenges Setting scope of each iteration Controlling scope of current iteration Keeping blinders on all team members Keeping an eye on business value of each feature Example: 3 weeks design/coding effort for services ordered on 5 orders per month generating revenue worth $50! 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 19
20 Bringing Discipline to chaos Scope definition of each iteration is critical Must understand technical architecture Must appreciate complexity Must do good estimates on effort per feature Architecture must define incremental features Strict adherence to iteration structure Commit to iterations and schedule Keep to schedule, maintain credibility 03/28/2003 Copyright etransitions Inc 2003 All Rights Reserved. 20
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