Data Warehouse Implementation
Architect and build scalable data warehouses that unify your sources into one reliable, query-ready source of truth.
- Microsoft SQL Server
- Azure SQL
- Data Modeling
End-to-end expertise across the Microsoft data stack, cloud, AI, and security — tailored to US businesses of every size.
Architect and build scalable data warehouses that unify your sources into one reliable, query-ready source of truth.
Robust ETL/ELT pipelines with Azure Data Factory that move and transform data automatically and dependably.
Diagnose and eliminate bottlenecks — indexing, query optimization, and configuration — for dramatically faster systems.
Ongoing DBA support: backups, monitoring, high availability, and security so your databases just keep running.
Migrate on-premises databases to Azure SQL with minimal downtime, lower cost, and a clear rollback plan.
Transform business metrics into live, executive-ready Power BI dashboards that track the KPIs that matter.
Applied Artificial Intelligence for forecasting, classification, and automation — focused on real business ROI.
Custom Python development and REST API integration to connect your tools and eliminate manual work.
Lock down your email with SPF, DKIM, and DMARC, plus security policy development to protect your domain.
Inherited a shaky AI-generated ("vibe coded") app or script? We audit, refactor, secure, and stabilize it so it's production-ready and maintainable.
Tell us your goals and current stack. We'll recommend the highest-impact first step — no obligation.
Get a recommendationClear steps, no jargon, and measurable outcomes at every stage of the engagement.
We review your data, systems, and goals to find the biggest opportunities and risks.
You get a clear plan and architecture with timelines, costs, and expected results.
We implement pipelines, databases, dashboards, or AI — with regular check-ins.
We tune, document, and hand off — with optional ongoing support and monitoring.
Both. Glendale Software Solutions serves US businesses small and large. Engagements scale from a single performance-tuning project to a full data warehouse and AI roadmap.
Microsoft SQL Server, Azure SQL, Azure Data Factory, Power BI, and Python for data engineering and API integration — plus AI/ML and email security (SPF, DKIM, DMARC).
Yes. We handle cloud database migration to Azure SQL with a tested, low-downtime plan and a clear rollback strategy so your business keeps running.
With a free consultation. We assess your current setup, identify quick wins, and propose a focused plan with clear costs and expected outcomes before any commitment.
Many teams now have quickly AI-generated apps that work but aren't secure or maintainable. We audit, refactor, and harden that code so it's reliable in production.
Book a free consultation and get a clear, no-obligation recommendation for your data and AI goals.
Book a Free Consultation