SQL, ETL, and Data Integration

Stop Copying Data by Hand, Connect It Instead

Your business runs on data scattered across a line of business application, the SQL database behind it, a few SharePoint lists someone built to fill a gap, a handful of cloud services, and more spreadsheets than anyone wants to admit. When those systems do not talk to each other, someone ends up exporting a file from one and importing it into another by hand, on a schedule that depends on them remembering. Regroove designs and builds SQL solutions and ETL pipelines that move your data automatically, so it is accurate everywhere it needs to be.

What Reliable Data Integration Actually Looks Like

Connecting two systems is not the same as connecting them well. This is the work that makes reporting and automation projects actually succeed, rather than quietly disappoint.

Automated ETL Pipelines

Instead of relying on someone remembering to export a file from one system and import it into another, we design and build ETL pipelines that extract, transform, and load your data automatically on a schedule. Once a pipeline is running, the data moves whether anyone is watching or not.

SQL Database Design and Performance Tuning

For organizations running their own databases behind a line of business application, we handle schema design, query optimization, indexing, and performance tuning. A well designed database is faster for your application, cheaper to maintain, and far easier to build reliable integrations on top of.

Data Cleansing and Transformation

Data from different systems almost never uses the same formats, field names, or identifiers. A customer might be spelled three different ways across three systems. We clean, standardize, and transform data so it can actually be matched and joined, rather than quietly producing wrong results.

A Single Source of Truth

When the same information lives in multiple disconnected places, versions drift apart and nobody knows which one is correct anymore. We consolidate scattered data into one reliable source of truth, so every system and every report pulls from the same accurate set of numbers.

Reporting You Can Actually Trust

A beautiful Power BI dashboard built on messy underlying data will always disappoint, no matter how good it looks. We feed clean, structured, integrated data into your reporting and analytics tools, so the numbers on the dashboard match what is actually happening in your business.

Azure SQL and Cloud Data Integration

As a Microsoft Solutions Partner, we work with Azure SQL and Microsoft's data stack as one option among the systems we connect, alongside on-premises SQL Server, other database platforms, SharePoint lists, and third-party cloud services. The right platform depends on your environment, not a default we push.

How We Build Your ETL and Data Integration

Every organization's data landscape is different. We start by understanding where your data actually lives and work outward, rather than bolting a generic integration tool onto a problem we have not looked at closely.

01

Data Landscape Assessment

We map out every system that holds data relevant to your business, from line of business applications and SQL databases to SharePoint lists, cloud services, and the spreadsheets people quietly rely on. You cannot integrate what you have not fully identified.

02

Source and Destination Mapping

For each piece of data, we identify where it originates, where it needs to end up, and what has to happen to it in between. This includes documenting the format mismatches and identifier differences that need to be resolved.

03

Pipeline and Database Design

We design the ETL pipeline architecture and, where needed, the underlying SQL database schema, with an eye toward performance, reliability, and how the solution will need to grow as your data volume increases.

04

Build and Transformation Logic

We build the extraction, transformation, and load logic, including the cleansing rules that standardize formats, field names, and identifiers across systems so records from different sources can be joined correctly.

05

Testing and Validation

Before anything runs on a schedule, we validate the pipeline against real data and confirm the results reconcile with the source systems. We would rather catch a mismatch now than have it show up quietly in a report six months from now.

06

Automation, Monitoring, and Handover

We put the pipeline on its production schedule, configure monitoring so failures are caught immediately rather than discovered weeks later, and document the solution so your team understands what is running and why.

Common Questions

ETL stands for extract, transform, and load. It describes the process of pulling data out of a source system, reshaping it so it matches the format and rules of a destination system, and loading it in. Most organizations already do this manually today, usually as someone exporting a spreadsheet from one system and re-entering it into another. An ETL pipeline automates that process on a schedule, which removes the manual labor and removes the human error that comes with it.

Ready to Stop Copying Data Between Systems by Hand?

Talk to a Regroove specialist about where your data currently lives and how it moves today. We will tell you honestly what can be automated, what your database needs, and what a real integrated data solution would look like for your organization.

Burnaby Head Office: 3999 Henning Dr #402, Burnaby, BC V5C 6P7  |  Victoria Office: 300-848 Courtney Street, Victoria, BC V8W 1C4