What Is The Modern Data Stack - Intro To Data Infrastructure Part 1

To put things simply, the modern data stack (MDS) is a set of tools that power data integration. In order, these tools include a fully managed data pipeline for “extract, load, and transform” (ELT) processes along with a cloud-based data lake or columnar warehouse for the data’s destination. On top of that, MDS requires a data transformation tool and a visualization or business intelligence (BI) platform so your company can make use of all the numbers.

The primary difference between a modern data stack and a legacy data stack lies in the host. The modern data stack is hosted in the cloud and, as a result, requires very little technical interference from its users. The modern data stack almost guarantees end-user accessibility, while the company at-large enjoys endless scalability that grows quickly without the expensive downtime associated with scaling the server room that supports a legacy data stack.

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About me: I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

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