In this article, you’ll learn about data testing, data monitoring, and how to get started with both.

We are excited to present you the Telmai Data Observability platform. It is now available as a cloud service. Telmai helps data teams to be confident in the quality of their data effortlessly

The data management landscape has dramatically changed over the last decade with the evolution and massive adoption of BigData, ML/AI,...

Both Max and I have been very clear that we wanted to build Telmai for the DataOps teams, specifically data engineers. Our objective is...

Cloud migration and integration projects rely on good quality data to meet their objectives. However, traditional technologies have...

Maxim Lukichev, Telmai CTO shares his experience on architecting data systems, in session with DataTalksClub Data architectures for...

BigQuery is Google’s fully managed, petabyte scale, low cost enterprise data warehouse for analytics and most often used for interactive...

Whether you onboard 3rd party data or curate data for your customers, internal or external, Data Quality is one of the most important...

In pursuit of identifying the team that is accountable for data quality, we interviewed a multitude of people across multiple companies,...

Introduction A recent study showed that 67% of global data and analytics technology decisions makers are implementing, have implemented,...

Significance and Consequence of data quality Most organizations are recognizing the importance of investing in a robust and scalable data...

DataOps for Digital Transformation In recent conversations, I've often been asked about DataOps and how Telm.ai fits in. So here is my...

After personnel, Data is the most valuable asset for any business. Industries depend on data to make significant decisions, leaving no...