Why SQL?
Structured Query Language (SQL) is the foundation of reliable data systems. At Pfann.Tech, SQL powers the data behind every automation, reporting dashboard, and client-facing web application. It’s how we transform raw information into meaningful insights that help businesses grow.
How We Use It
We use Microsoft SQL Server for its performance, reliability, and tight integration with .NET technologies. Our applications often combine Entity Framework Core for ORM-based access with stored procedures and views for optimized reporting and large-scale data processing.
Example: Table Design
Here’s a simple example of a well-structured SQL table for storing client data. Each record uses clear data types and constraints to ensure data integrity:
CREATE TABLE Clients (
ClientId INT IDENTITY(1,1) PRIMARY KEY,
ClientName NVARCHAR(100) NOT NULL,
Email NVARCHAR(255) NULL,
Phone NVARCHAR(20) NULL,
IsActive BIT NOT NULL DEFAULT 1,
CreatedDate DATETIME2 DEFAULT GETDATE()
);
Example: Query for Active Clients
A simple query to fetch all active clients, ordered alphabetically:
SELECT ClientId, ClientName, Email
FROM Clients
WHERE IsActive = 1
ORDER BY ClientName ASC;
Example: Stored Procedure
We often use stored procedures to encapsulate reusable business logic — for example, updating a client’s active status:
CREATE PROCEDURE usp_UpdateClientStatus
@ClientId INT,
@IsActive BIT
AS
BEGIN
SET NOCOUNT ON;
UPDATE Clients
SET IsActive = @IsActive
WHERE ClientId = @ClientId;
SELECT ClientId, ClientName, IsActive
FROM Clients
WHERE ClientId = @ClientId;
END;
Example: Joining Tables
Below is an example of how we use joins to connect clients with related engagement letters:
SELECT c.ClientName, e.Year, e.AssignedStaff
FROM EngagementLetters e
INNER JOIN Clients c ON e.ClientId = c.ClientId
WHERE e.IsActive = 1
ORDER BY e.Year DESC;
How It Works for You
By building systems on SQL Server and relational design principles, Pfann.Tech ensures your data remains accurate, secure, and easy to report on. Whether it’s automating workflows, consolidating data from multiple systems, or powering analytics dashboards, SQL helps us deliver dependable results at scale.
