One of the most challenging aspects of data storytelling isn't visualization but instead narrative. For many people, it can be somewhat of an enigma. One of the most crucial contributions that narrative makes to data stories is structure. This article reviews different narrative models and then introduces a powerful four-step narrative model for data storytelling.

Microsoft Fabric is a new platform designed to bring together the data and analytics features of Microsoft products like Power BI and Azure Synapse Analytics into a single SaaS product. Its goal is to provide a smooth and consistent experience for both data professionals and business users, covering everything from data entry to gaining insights. … Continue reading Unveiling Microsoft Fabric’s Impact on Power BI Developers and Analysts

Fabric wouldn’t be an end-to-end data analytics platform without data science, so in this blog we will explore that data science and machine learning capabilities of Microsoft Fabric and assess where the platform fits in the completive data science landscape.

We believe DataOps is the function within an organization that controls the data journey from source to value. DataOps is critical to any growing business working with any type of data.

When you compare DataOps vs. DevOps, you’ll find there are similarities. But there is a fundamental difference between them as well.

DataOps takes a page from the Agile approach to design, implement and maintain a distributed data architecture and derive trusted business outcomes.

I need better equipment… I tell myself while trying to jog off the extra pounds I gained in 2020. The earphones I am wearing slowly loosen from my ears with each step and I can feel each contour of the blacktop with my worn-out sneakers. I manage to finagle the earphones just right to listen to a new podcast Building the Backend by Travis Lawrence. He is interviewing Chris Bergh from Data Kitchen and a principal author of DataOps. I had heard the term before, DataOps, and read the manifesto, read the DataOps Cookbook, and I had researched how DataOps is the fusion of DevOps, Agile, and Lean Manufacturing. The stories Chris and his colleagues share about clients calling about bad data in reports, ETL pipelines failing in production, and clients who thought new features could be delivered quicker were all experiences I could relate with. I had been a convert for a little over a year and wanted to hear more.