Analyze the data › Data Warehouse
Module 16 of 21 Analyze the data
Data Warehouse
Aggregated on request
4 sections about 34 min
- 01 Data Warehouse Overview Workspace stops at Low Traffic and a truncated list. Data Warehouse does not. What the name means literally, and what you give up to get it.
- 02 Creating Data Warehouse Requests You are describing a table you will not see for hours, to a system that asks no questions. Six tabs, and the mistakes that only surface on delivery.
- 03 Delivery Options Where the file goes, how often, and the small settings that decide whether an automated pipeline works or fails without telling anyone.
- 04 Best Practices and Use Cases When Data Warehouse is the right tool, when it is a slow way to answer an easy question, and how it differs from the raw feed underneath it.
About this module
Data Warehouse gives you aggregated data on request, including classifications. What it can answer, what it cannot, and how to ask for it.
Analysis Workspace has limits. Low Traffic buckets away values you never got to see, and long lists get truncated. Data Warehouse does neither.
This module covers what it is for, how to write a request when you are describing a table you will not see for hours to a system that asks no questions, and where the finished file ends up. It also covers when not to use it, because a Data Warehouse request is a slow way to answer a question Workspace would have answered in ten seconds.
Next module 17. Data Feeds