Modern Data Stack

The modern data stack is the term for the tools used by tech companies to analyze and integrate data.

It’s cloud-based which alleviates many of the challenges in analyzing data with legacy systems.

Here are the components of the modern data stack:

Data sources — this includes databases, company products that produce a stream of data, and event streams which log each action a user takes.

Data warehouse — these are the tools used to store the voluminous amounts of data that come from data analysis work.

This includes data lakes and other large-scale formats for storing the data.

Data analytics — this includes the ability to query into the data sets and apply analytics to the data.

Data transformation — this moves the data into a format that end users can use for their own queries and analysis. 

Data monitoring — this captures metrics about the data such as how often the data is being used and for what applications.

Data governance — this monitors the use of the data to comply with government regulations.

Data applications — the set of applications which use the data output from the system for applications such as business intelligence. 

In setting up a data analytics program at your company consider the modern data stack and its components.

 

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