Database Development
Database Development Services That Build the Logic Behind Reliable Systems
Oklahoma Data Partners designs and builds the database logic behind your applications, reports, and workflows — clean schemas, fast stored procedures, validated data, and reporting that scales. Senior, specialist-led expertise without the cost of a full-time hire. Based in Oklahoma City, OK, Oklahoma Data Partners serves the Oklahoma City–Tulsa region and supports teams locally across Oklahoma. This scope builds schemas, SQL, and database code; our development-versus-administration guide explains when operational DBA ownership is the better fit.
Priority and after-hours support available by plan.
Database Workspace
okdp-dev · SQL Server
Rows processed
2.4M
Procs passing
98%
Avg query
120 ms
Validation
99.6%
usp_GetCustomerOrders.sql
valid1CREATE PROCEDURE dbo.usp_GetCustomerOrders2 @CustomerId INT3AS4BEGIN5 SET NOCOUNT ON;6 SELECT o.OrderId, o.OrderDate,7 SUM(i.Qty * i.UnitPrice) AS Total8 FROM dbo.Orders AS o9 JOIN dbo.OrderItems AS i10 ON i.OrderId = o.OrderId11 WHERE o.CustomerId = @CustomerId12 GROUP BY o.OrderId, o.OrderDate13 ORDER BY o.OrderDate DESC;14END
Validation checks
Live build & job runs
usp_GetCustomerOrders · deployed
build #214 · 0 errors
vw_SalesDaily · refreshed
reporting view · 42k rows
import_orders · validating
staging → dbo.Orders
import_customers · 12 rows quarantined
validation caught duplicates
Query runtime (ms)
120 ms avgSound familiar?
The database problems that quietly hold your systems back
None of these look like a single dramatic failure — they slow your apps, erode trust in your data, and make every change riskier than it should be.
Poorly designed tables
Schemas that grew by accident — wrong data types, no keys, everything in one wide table — making every query slower and riskier than it should be.
Slow stored procedures
Procedures that crawl as data grows, time out under load, and quietly become the bottleneck behind a sluggish application or report.
Messy, tangled SQL
Copy-pasted queries, nested logic no one understands, and business rules buried in code that nobody wants to touch.
Duplicate & inconsistent data
The same record entered twice, formats that never match, and totals that shift depending on which query you trust.
Fragile backend logic
One small change breaks three things you didn't expect, because the database logic has no structure, tests, or documentation.
Manual import & export
Files moved by hand between systems every week — slow, error-prone, and impossible to trust or audit later.
Reporting that won't scale
A reporting database bolted onto production that grinds to a halt the moment more than a few people run reports at once.
Undocumented database code
Critical procedures and jobs with no documentation, so when the person who built them leaves, the knowledge leaves too.
Apps slowed by bad queries
Applications that feel slow not because of the app, but because of unoptimized queries hammering the database underneath.
No data validation
Inputs that flow straight into tables with no checks, so bad data accumulates until reports and workflows can't be trusted.
What we do
End-to-end database development
From schema design to stored procedures, validation, and reporting databases — one team that builds the database logic your business runs on.
SQL Development
Clean, well-structured SQL that does exactly what the business needs — readable, maintainable, and built to perform as data grows.
Build with SQLT-SQL Development
Advanced T-SQL for SQL Server and Azure SQL — set-based logic, window functions, and patterns that scale instead of looping row by row.
Develop in T-SQLStored Procedures
Robust, parameterized stored procedures that centralize business logic, run fast, and behave predictably under real-world load.
Build proceduresViews, Functions & Triggers
Reusable views, deterministic functions, and carefully scoped triggers — used when they help and avoided when they hurt.
Add reusable logicSchema Design
Thoughtful table design with the right keys, data types, and constraints so your database is fast, correct, and easy to extend.
Design a schemaData Modeling
Logical and physical data models that map your real business entities and relationships into a clean, query-friendly structure.
Model your dataNormalization & Structure
Normalized (or deliberately denormalized) designs that eliminate redundancy where it hurts and add it back where it helps reporting.
Structure your dataImport & Export Automation
Automated, validated import and export routines that replace manual file shuffling between systems with reliable, repeatable jobs.
Automate transfersBackend Processing Logic
Server-side processing, batch jobs, and scheduled routines that handle the heavy data work behind your apps and workflows.
Build backend logicSSIS & ETL Logic
New SSIS packages and ETL logic — and modernization of fragile, legacy flows — built to be maintainable, documented, and monitored.
Develop ETL logicReporting Databases
Dedicated reporting structures, views, and data marts that keep heavy reporting off your production database and consistently fast.
Build a reporting DBData Validation Scripts
Validation rules and scripts that enforce data quality at the source, so duplicates and bad values are caught before they spread.
Add validationData Cleanup & Deduplication
Careful, reversible cleanup of messy historical data — deduplicated, standardized, and reconciled without losing what matters.
Clean up dataQuery Optimization
Indexing, query refactoring, and execution-plan tuning that turns slow, timing-out queries into fast, predictable ones.
Optimize queriesCustom Database Solutions
Bespoke database logic for the problems off-the-shelf tools can't solve — designed around how your business actually works.
Scope a solutionHow we build it
From business need to reliable database
We start with what the data has to do, model it properly, then build the schema, logic, and validation that turn it into a system your apps and reports can trust.
Business Requirements
What the data must do
Data Model
Entities & relationships
Tables & Relationships
Keys & constraints
SQL Logic
Procedures & queries
Validation Rules
Quality enforced
Reports, Apps & Dashboards
Reliable output
Schema & data modeling
A foundation designed to last and scale
Most database pain starts with a schema that grew by accident. We model your data around how your business actually works — with the right keys, types, and constraints from day one.
Sample relational schema
3NF · keyedTable design
Right-sized tables with clear purpose
Relationships
Primary & foreign keys that hold up
Data types
Correct, efficient types per column
Constraints
Rules enforced by the database itself
Indexing strategy
Indexes where queries actually need them
Naming standards
Consistent, predictable conventions
Security & access
Structured permissions and roles
Scalability planning
Designed to grow without rework
Reporting needs
Modeled for fast, consistent reporting
Documentation
A schema your team can understand
SQL, procedures & backend logic
SQL that is fast, clear, and maintainable
Stored procedures, queries, and backend routines built to perform under real load — refactored when they're tangled, optimized when they're slow, and documented so your team can build on them.
Stored procedure development
Parameterized, centralized business logic
Query writing
Set-based SQL that returns the right answer
Query refactoring
Tangled SQL rewritten to be clear and fast
Views & functions
Reusable logic exposed cleanly to apps
Triggers when appropriate
Used sparingly, only where they truly help
SQL automation
Scheduled jobs and recurring routines
Backend processing
Heavy data work handled server-side
Error handling
Try/catch, transactions, and safe rollbacks
Performance-aware design
Execution plans considered from the start
Reusable SQL logic
Patterns your team can build on later
Execution result
Success1,284
120 ms
312
Success
Query runtime · before vs after tuning
91%Validation & cleanup
We turn messy data into data you can trust
Bad data quietly corrupts every report and workflow downstream. We clean up what's there and enforce quality at the source, so it stays clean going forward.
Common data problems
The riskDuplicate records
The same customer or transaction stored more than once, quietly inflating every total.
Missing values
Required fields left blank that break joins, skew reports, and confuse downstream logic.
Invalid data types
Numbers stored as text and dates as strings, so sorting, math, and filtering all misbehave.
Inconsistent formats
Phone numbers, codes, and names entered ten different ways with no standard to match on.
Orphaned rows
Child records pointing at parents that no longer exist, breaking referential integrity.
Bad imports
Files loaded with no checks, dragging malformed and partial rows straight into your tables.
Unvalidated input
Data written directly with no rules, so errors accumulate until nothing can be trusted.
Broken relationships
Keys that don't line up across tables, so joins silently drop or duplicate rows.
How Oklahoma Data Partners fixes it
Built inValidation rules
Constraints and scripts that reject or quarantine bad rows before they ever land.
Deduplication
Careful, reversible merging of duplicate records into one trusted version.
Keys & constraints
Primary, foreign, and check constraints that let the database enforce its own rules.
Referential integrity
Relationships that stay consistent, so joins return exactly the rows they should.
Validated imports
Import routines that verify structure and content before a single row is committed.
Standardized cleanup
Formats, codes, and names normalized to one consistent, documented standard.
Exception reporting
Clear reports of what was rejected and why, so nothing is silently lost.
Documented rules
Every validation and cleanup rule written down, so the logic is never a mystery.
Reporting databases
Reporting that won't slow your app down
Heavy reports running straight against production grind everything to a halt. We build dedicated reporting structures so reports stay fast — and so does your application.
Off-production reporting
Heavy reporting runs against a dedicated structure, keeping your production database fast for the app.
Reporting views & marts
Pre-shaped views and data marts so reports are consistent, simple, and quick to build.
Scheduled refreshes
Automated refresh jobs keep reporting data current without manual rebuilds every week.
Built for performance
Indexed and aggregated for the queries reports actually run, not the ones the app does.
Database Tables
Source of truth
Reporting Views
Shaped for reporting
Data Mart
Modeled & aggregated
Power BI
Dashboards & reports
What you get
Database code you own, not black boxes
Every engagement leaves you with well-designed, documented database code in your own environment — plus a clear scorecard of how solid it is.
A well-designed schema
Tables, keys, and constraints modeled around your business — not bolted together over time.
Documented SQL scripts
Readable, version-friendly SQL you fully own, with comments that explain the intent.
Stored procedures
Centralized, parameterized procedures that run fast and behave predictably under load.
Views & functions
Reusable logic exposed cleanly so apps and reports share one trusted source of truth.
Data validation rules
Built-in checks for duplicates, bad types, and missing values so quality is enforced.
Import/export routines
Automated, validated transfer jobs that replace manual file handling between systems.
Query optimization notes
Indexes, refactors, and tuning documented so performance is repeatable, not luck.
Data cleanup scripts
Reversible scripts that deduplicate and standardize messy historical data safely.
Reporting structures
Views, marts, and refresh jobs that keep reporting fast and off your production database.
Documentation & handover
Plain-language docs of how the database works, so your team is never locked out of it.
Safe deployment scripts
Repeatable change scripts so updates roll out the same way every time, with a rollback path.
A maintenance plan
A clear plan for keeping the database healthy as data, usage, and requirements grow.
Sample development scorecard
Every build ends with a score like this — a clear, prioritized read on where your database is solid and where it still needs work.
The difference
From tangled and fragile to clean and reliable
Before Oklahoma Data Partners
Tangled & fragile- Tables that grew by accident with no real keys
- Stored procedures that time out under load
- Tangled SQL nobody wants to touch
- Duplicate, inconsistent data across tables
- Files moved by hand between systems
- Reports that slow the whole database down
- Critical logic with zero documentation
- Bad data flowing in with no validation
With Oklahoma Data Partners
Clean & reliable- A clean schema with the right keys and types
- Fast, predictable procedures built to scale
- Readable, documented, maintainable SQL
- Deduplicated, validated, consistent data
- Automated, validated import/export jobs
- Reporting on its own fast, dedicated structure
- Plain-language docs for every key routine
- Validation that catches bad data at the source
Tools & platforms
The database stack we work with every day
Deep, hands-on experience across SQL Server and the Microsoft data platform, plus the modern cloud databases your systems depend on.
Ways to work together
Engagements that fit how you need help
Whether you need a database designed right, specific SQL built or fixed, reporting moved off production, a messy database untangled, or dependable ongoing development, there is a clear way to start.
Database Design Project
Teams starting fresh or rebuilding a database that grew by accident.
- Data modeling & schema design
- Keys, constraints & indexing
- Naming & documentation standards
- Built-in validation rules
Best fit: A clean foundation done right
Design a DatabaseSQL Development Sprint
Teams with stored procedures, queries, or backend logic to build or fix.
- Stored procedures & functions
- Query writing & refactoring
- Error handling & transactions
- Performance optimization
Best fit: A focused, scoped build of database logic
Start a SprintReporting Database Build
Teams whose reporting is slowing down their production database.
- Reporting views & data marts
- Scheduled refresh jobs
- Off-production reporting structure
- Power BI–ready models
Best fit: Fast reporting that won't slow the app
Build ReportingDatabase Cleanup & Refactor
Teams with messy data and fragile, undocumented database code.
- Data cleanup & deduplication
- SQL refactoring & tuning
- Validation & integrity fixes
- Before / after benchmarks
Best fit: Untangling an aging, messy database
Clean It UpMonthly Database Development Support
Teams that need dependable, ongoing database development help.
- New procedures & enhancements
- Query & schema optimization
- Reporting & validation updates
- Priority and after-hours support available by plan
Best fit: Continuous, hands-on development
Get Ongoing SupportQuestions, answered
Database development FAQ
Build the database logic your business can rely on.
Start with a conversation about your database and systems, and get a clear, honest path from tangled, fragile code to a clean, fast, well-documented database.
Priority and after-hours support available by plan.
Security & confidentiality
Your data environment is treated with care.
We treat database, reporting, and analytics environments as sensitive — and handle every engagement with professionalism, discretion, and respect for your systems.
Respect for internal systems
Careful access handling
Security-aware recommendations
Confidential conversations
Documentation discipline
Business-sensitive reporting awareness