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Transform Your Data

Data Engineering

When you look at a dashboard or report, that data has likely taken many steps from its source on its way to Power BI. Data Engineering is the work that brings data from disparate sources and cleans, transforms, and organizes it to enable you to visualize your data accurately and easily.

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How does Data Engineering work?

Think of your data as raw materials and your Power BI reports and dashboards as your finished product; in this case, a house. You need processes and tools to extract the raw materials, a factory to transform those raw materials into useable components, and a warehouse to pull from when you’re ready to build.

Imaginet - Data Engineering is the work that brings data from disparate sources and cleans, transforms, and organizes it to enable you to visualize your data accurately and easily in Power BI.

Start with the raw materials.

In this analogy, your data are your raw materials. They seldom come from one source and are often found in various locations. Raw materials are usually not ready to use to build a home and need to go through some process in order to become a useable product, like a door or window.

We use Microsoft Azure tools and services to build a robust process that extracts data from their various sources as raw materials. All that data then goes into a factory to be cleaned, sorted, and organized to be ready to use.

Process the raw materials into useable components.

It’s important to take the time to transform those raw materials into useable components to build your home. Just like a real factory, there are often assembly lines and manufacturing processes to ensure accuracy and quality.

Using Azure Data Factory, all your data from its various sources get shaped, validated, cleaned, and correlated, then stored in a data warehouse (Azure SQL Database) to draw from when you’re ready to produce reports and dashboards in Power BI.

Sometimes it is better to store the data in a “data lake” which is a set of files in Azure Storage, and then query it using Azure Synapse as if it is a SQL database. This makes the data lake files function as a virtual data warehouse.

Ready to build.

To build a home, you need to make sure you have the right materials, tools, and measurements. If you don’t, you’ll end up with an unreliable, unpredictable, and unstable home.

Our goal is to build a Power BI data model with the right tables, right names, right columns, and right calculations that can be published once and refreshed regularly without any manual intervention.

Data Engineering ensures that your Power BI dashboards and reports are as accurate as possible. Taking the time to create highly organized and accurate data warehouses allows your team to discover insights like never before.

Unlock the hidden value in your data.

It can be daunting to try to get data from a cloud-based application on your own, but it’s what we do regularly. We’ve helped clients with data quality issues and take the time to help identify them, mitigate them, and work around them.

Ready to transform your information into actionable insights? Imaginet’s Data Engineering team is here to do the heavy lifting.

Just Some of Our Customers

Imaginet’s skilled DBA professionals enabled my team to effectively configure a cost effective, off-site redundant SQL instance. The true value in the implementation was realized only months later when our critical production systems failed over to the off-site backup during a four day power outage. Exceptional Real-Time ROI!

KYLE SCHIELE, Business Application Team Lead, Altus Geomatics

In the 6 years I’ve worked with imaginet, I’ve never been disappointed. What started out as a proof-of-concept data warehouse has grown to become the backbone of our data analytics department. Imaginet's agile nature has allowed us to serve up analytics to the entire company, from engineers to geophysicists. Working with Mike and Bruno has been a delight, and I’m excited to see what we accomplish in the next 6 years.

TED WEINRATH, Lead Software Developer, Tundra Oil & Gas

I had the pleasure of working with Mike Diehl and the rest of the Imaginet team for a year long Business Intelligence project. This was a significant project building a data warehouse from the ground up. His knowledge and guidance made the project a resounding success. His easy going demeanor masks a zeal and commitment to building sustainable process that are basis for long-term success. This provided lasting value in engaging with Imaginet.

PATRICK MOLLOY, BI Manager, Workers Compensation Board of Manitoba

Thank you to Imaginet and Mike Diehl for your efforts during our Business Intelligence proof of concept. We would have not been able to build out our environment with Office 365, Power BI, and SQL Server 2016 in Azure without your help. Your guidance and expertise proved to be invaluable.

PAUL, IT Manager, US-based manufacturer

I was delighted by the Power BI work that Mike from Imaginet did for us. He addressed the issue we brought him on to address and reduced the steps to update our Power BI reports from 16 manual steps to 4 easily automatable ones. Thanks to his efforts, we have a plan for short term improvements and a longer term goal to work towards to prepare for our next engagement. This was one of the most productive consulting engagements I’ve had.

JOEL TONE, Manager of Data Integrity and Reporting, FarmersEdge

I just wanted to say thank you to Mike Diehl and Imaginet for being an innovative driving force at the WCB... I can truly say I'm more Agile now than I've been in my entire professional career... Keep doing what you do. You have one fan from WCB who is vocal to the rest of the team and openly appreciative of your style.

MICHAEL LANTZ, Business Intelligence Database Analyst, Workers Compensation Board of Manitoba

Power BI reports help our team make smarter purchasing, merchandising, and marketing decisions. Imaginet was instrumental in setting up the data integrations needed to facilitate our reporting.

GARY FISCH, CEO, Gary's Wine & Marketplace


Helping Teams Make Data-Driven Decisions

Imaginet has helped some of the largest companies around the globe with all of their data engineering needs.


Imaginet helped this energy safety regulator make instant and more informed business decisions from their data sprawl.



Imaginet built Power BI dashboards that provided new business insights that revolutionized this wine company’s decision making.



This governing health and safety organization improved the quality, agility, and adoption of their data with Imaginet’s guidance.



This Canadian drilling and oil company needed a better way to analyze data from multiple sources so they could focus on the highest producing regions.


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