1.4 Databases and Storage¶
Role at Stage 1: Foundations¶
Understand where application, training, retrieval, and observability data live. This part is one capability inside the stage. It should leave behind an artifact, measurements, and a short explanation of failure modes.
Explanation¶
This part has 4 sub-parts because the topic needs that many learning units to feel natural. Some stages have more parts and some have fewer; the structure follows the topic, not a fixed template.
Part Diagram¶
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flowchart LR
P["<b>1.4</b><br/>Databases and Storage"]
P --> S1["<b>1.4.1</b><br/>SQL Tables and Joins"]
P --> S2["<b>1.4.2</b><br/>Indexes Transactions<br/>and Query Plans"]
P --> S3["<b>1.4.3</b><br/>Document Stores and<br/>Object Storage"]
P --> S4["<b>1.4.4</b><br/>Vector Database<br/>Preview"]
P --> E["<b>Exam</b><br/>Part practice"]Sub-Parts¶
| Sub-part folder | What it explains |
|---|---|
| 1.4.1 SQL Tables and Joins | SQL Tables and Joins is the working skill inside Databases and Storage that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result. |
| 1.4.2 Indexes Transactions and Query Plans | Indexes Transactions and Query Plans is the working skill inside Databases and Storage that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result. |
| 1.4.3 Document Stores and Object Storage | Document Stores and Object Storage is the working skill inside Databases and Storage that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result. |
| 1.4.4 Vector Database Preview | Vector Database Preview is the working skill inside Databases and Storage that helps you build the stage artifact, A tested Python data application with a CLI or API, setup notes, and a short data report, while collecting enough evidence to trust the result. |
What a Person Who Masters This Part Can Do¶
- Explain how Databases and Storage supports a tested python data application with a cli or api, setup notes, and a short data report..
- Build and inspect this artifact: Load a cleaned dataset into SQLite and query it.
- Measure progress with: Track query correctness, indexes, joins, and storage format decisions.
- Debug at least one failure mode before moving to the next part.
Build and Measure¶
Build: Load a cleaned dataset into SQLite and query it.
Measure: Track query correctness, indexes, joins, and storage format decisions.
Tests¶
Take one 30-question exam after studying this part. It opens in a new browser tab so the study page stays available.
Back to Stage¶
Return to Stage 1: Foundations.