Data engineering / SQL Server & SSIS

SQL Server and SSIS consulting for enterprise data teams.

UTIS helps teams improve SQL Server performance and the SSIS processes that move data between systems. Our work covers query tuning, data-load reliability, warehouse logic, production troubleshooting and reporting foundations. We can improve your existing environment, support its operation or assess the workloads that should move to a different platform.

SQL Server & SSIS

Follow the data. Check the result.

  1. Trace the workload

    Queries, jobs and reporting dependencies.

  2. Make the change

    Tune or revise the agreed workflow.

  3. Compare the outputs

    Check source data and reporting results.

Conceptual workflow. Scope, validation and delivery responsibilities are agreed for each engagement.

Your priorities

Problems we help solve

These are common reasons to bring UTIS into the work.

01

Data takes too long to reach reports.

Slow queries, SSIS bottlenecks and repeated full-data loads can leave reporting behind the business. We start by identifying where processing time is spent.

02

A successful job can still miss data.

Files can go unprocessed when access changes or a source stops writing. Monitoring needs to check for expected work as well as job errors.

03

A migration affects dependent reports and applications.

Existing data models, processing jobs and reports have dependencies. A migration needs an inventory, output checks and an agreed transition plan.

Our contribution

What can UTIS improve in SQL Server and SSIS?

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Tune SQL Server and T-SQL

Improve query performance and data models alongside the processing jobs and reports that use the data.

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Improve SSIS processing and monitoring

Optimize packages, address file-processing bottlenecks and add checks for expected processing that did not happen.

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Process changed records and improve reporting data

Use change tracking to process only updated records, handle duplicates and create shared data models for Power BI and customer-retention analysis.

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Plan modernization around the workload

Assess whether tuning, targeted re-engineering or a platform transition is the right next step. Define data checks, dependencies and support responsibilities first.

SQL Server · T-SQL · SSIS · SQL Server Change Tracking · Power BI · Azure Databricks

A considered cloud transition

Moving from SQL Server to Azure Databricks?

Scope the models, ETL dependencies, validation and cutover before committing to the transition.

Explore the migration engagement

Working together

How do we investigate and validate changes?

01

Find the cause of the problem

Map affected queries, jobs, files, sources and reports. Identify delays, missing data and access dependencies.

02

Agree the scope and success measures

Record current outputs, processing behavior and required data freshness. Agree whether to focus on tuning, recovery, incremental loading or migration.

03

Make and validate the changes

Implement the agreed changes and compare the outputs with the reference. Check the processing and monitoring before switching.

04

Document support and handover

Provide instructions for the pipelines and monitoring. For migration, agree when to switch systems and who supports the new environment.

Before we start

Frequently asked questions

What to expect when you work with UTIS.

Can UTIS improve our current SQL Server and SSIS systems?

Yes. SQL Server, T-SQL and SSIS are part of our founding practice. Our work includes package optimization, file-processing fixes, incremental loading and reporting data models. We assess the specific performance or support problem before proposing changes.

Can you detect data loads that fail without an error?

The documented data-processing engagement added a check for files that had not been processed, alongside SSIS optimization and alerting. Your monitoring checks would follow the sources, expected processing and access requirements of your systems.

Do we have to migrate away from SQL Server?

No. We can improve the systems you have. When a platform transition is appropriate, we scope the models, processing dependencies, output comparisons and support needs before recommending the next step.

Meet with UTIS

Book a meeting.

Choose a preferred time for a 30-minute conversation about your project or hiring needs.

Choose a preferred time

Book a meeting

UTIS will review your preferred time and confirm the meeting by email.