View Data Analytics Stack Pics. Tools in this space make it easier to manage data sources and clean the recorded data into forms that are more conducive to analysis. Coursera.org has been visited by 100k+ users in the past month
Reports of the death of spreadsheets are greatly exaggerated. Each segment of the pipeline has numerous competing tools, and it is important to choose components that fit the size and readiness of the company that they will be attached to. The players here are the database and storage vendors.
The bottom layer of the stack, of course, is data.
A data warehouse is a centralized location for holding datafrom a variety of sources. Data modeling tools include sql, dbt, and dataform. To get data into a data warehouse, it must first be replicated from an external source. While each company will require a different specific pipeline organization to suit their needs, there are still some major commonalities in terms of the general components that serve in a pipeline.
