This is an article in a series about building data products with Tag.bio. To begin the series, check out Part One, which outlines the reason for and definition of a data product, along with key concepts and terms. …

This is an article in a series about building data products with Tag.bio. To begin the series, check out Part One, which outlines the reason for and definition of a data product, along with key concepts and terms. …

This is an article in a series about building data products with Tag.bio. To begin the series, check out Part One, which outlines the reason for and definition of a data product, along with key concepts and terms. Here, in Part Two, we will introduce the example dataset and provide…

My company, Tag.bio, has implemented over 200 data products for a wide range of use cases in the scientific, healthcare and pharmaceutical sector. Examples include: Top 10 US hospital — a platform to extract and compare cohorts of patients across 50 million inpatient encounters and outpatient visits. Top 5 global…

Modeling data is not enough— you need to do it well — This article will be constrained to modeling read-access data for the purposes of analysis — i.e. the O part of I/O. I’m also not going to discuss data quality or pre-processing—but I trust you won’t forget about those things. Why should you care about data modeling? It’s about getting the most value from your data — quickly…

There are two hot buzzwords competing for the data business 2021 Concept of the Year: Data Harmonization and Data Product. If you’re in my field — and presumably you are — you’ve started hearing and using these terms on a daily basis. I’m now even seeing job titles on LinkedIn…

Transcend the constraints of English parlance for better organization and faster interpretation of your work. Preface Do you remember when you learned how to format calendar dates for alphanumeric sorting? You either had dates in the month-first US format, e.g. 09–11–1991, or in the day-first European format, e.g. 11–09–1991, and you…

What do we mean when we use these trendy terms? Why do they matter? And aren’t these just new names for things that already existed? — Let’s begin with why these terms matter I’m presuming you’ll agree: Developers should be able to build novel, useful, scalable, secure software with only a minimal amount of clean, maintainable code. Minimizing the complexity and scope of code enables faster deployment of software applications which are easier to maintain and improve.

I’m pleased to announce that Sanjay Padhi, PhD — formerly Head of AWS Research and leader in scientific computing at CERN — has joined Tag.bio as Chief Technologist and Executive Vice President. Dr. Padhi brings to Tag.bio a wealth of experience in cloud computing architecture and infrastructure for data research…