Our full menu of services. Select a service to learn more.
In this case, historical performance does guarantee future results.
Learn what issues we have tackled in the past.If you do not see your use case here, reach out to us. We are world class troubleshooters. New problems are nothing new to us.
Our software is freely available and open source and will always remain that way as selling software is not our competency. Writing software is!
As part of our core mission, we offer these resources free of charge.
Find an opportunity to interact with other data professionals across the globe remotely or in person.
Our position papers represent our unvarnished opinion about how DataOps should be executed in the enterprise.
The ETL Framework documentation represents our key docturnal document.
The key to our success is not what we do. It can be found in how we do it. We look for every opportunity to gain efficiencies.
Once identified, we hone these efficiencies to perfection. Once perfected they are turned into protocols which are then codified into doctrine. The doctrine is then published and made publicly available free of charge.
The secret to our success is not a secret. You just have to be willing to execute.
Our full menu of services. Select a service to learn more.
In this case, historical performance does guarantee future results.
Learn what issues we have tackled in the past.If you do not see your use case here, reach out to us. We are world class troubleshooters. New problems are nothing new to us.
Our software is freely available and open source and will always remain that way as selling software is not our competency. Writing software is!
As part of our core mission, we offer these resources free of charge.
Find an opportunity to interact with other data professionals across the globe remotely or in person.
Our position papers represent our unvarnished opinion about how DataOps should be executed in the enterprise.
The ETL Framework documentation represents our key docturnal document.
The key to our success is not what we do. It can be found in how we do it. We look for every opportunity to gain efficiencies.
Once identified, we hone these efficiencies to perfection. Once perfected they are turned into protocols which are then codified into doctrine. The doctrine is then published and made publicly available free of charge.
The secret to our success is not a secret. You just have to be willing to execute.
In his 2016 post “Building a Mature Analytics Workflow,” our own Tristan Handy outlined the significant issues facing analytics teams, and how we might begin solving them. The crux of the issue was that data practitioners clean & transform their datasets in isolation, as part of building their own analytics outputs (reports, notebooks, ML models, […]
Analytics engineering applies software engineering best practices to analytics code.
It’s a practice that allows anyone who knows SQL to produce excellent datasets — datasets that are fresh, accurate, tested, and documented.
Teams practice analytics engineering collaboratively — it is generally not a solo sport (unless you’re a data team of one!).