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MODULE 13

Infrastructure & Ops for Data Systems

Bring operational discipline from serious engineering to data workloads, deploy, observability, security, and incident response.

Editorial cover of the module Infrastructure & Ops for Data Systems
Infrastruttura dati moderna: fondamenti - immagine ufficiale della lezione su GinnyTech, creata da AD
1
Advanced 22 min

Modern data infrastructure: fundamentals

Overview of the infrastructure needed for a modern data team: cloud, storage, compute, and orchestration.

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CI/CD per pipeline dati - immagine ufficiale della lezione su GinnyTech, creata da AD
2
Advanced 22 min

CI/CD for data pipelines

Implement CI/CD for dbt, Airflow, and ETL: automated tests, isolated environments, safe deploys.

Prerequisites: 1

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Monitoring e alerting per data pipeline - immagine ufficiale della lezione su GinnyTech, creata da AD
3
Advanced 22 min

Monitoring and alerting for data pipelines

How to monitor the health of data pipelines and receive alerts when something breaks.

Prerequisites: 1

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Gestione dei costi dell'infrastruttura dati - immagine ufficiale della lezione su GinnyTech, creata da AD
4
Advanced 22 min

Data infrastructure cost management

Strategies to control and optimize warehouse, storage, and pipeline costs.

Prerequisites: 1

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Orchestrazione pipeline: Airflow e Prefect - immagine ufficiale della lezione su GinnyTech, creata da AD
5
Advanced 22 min

Pipeline orchestration: Airflow and Prefect

Data pipeline orchestration: workflow scheduling, dependencies, and retry management.

Prerequisites: 1

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Cheat Sheet — Infrastructure & Ops - official lesson image on GinnyTech, created by AD
6
Advanced 10 min

Cheat Sheet — Infrastructure & Ops

Quick reference for operational patterns in data infrastructure management.

Prerequisites: 1

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Project: complete data infrastructure - official lesson image on GinnyTech, created by AD
7
Advanced 28 min

Project: complete data infrastructure

Designing end-to-end data architecture for a growing company.

Prerequisites: 1

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Module connections

Continue hereAdvanced SQL for Analytical Systems14 lessons

Use SQL as a reasoning language, not just extraction, with patterns for cohorts, funnels, experiments, and performance.

Same stage of the pathReal-Time Analytics & ClickHouse Systems9 lessons

Turn realtime from slogan to robust system with ingestion patterns, MergeTree thinking, and cost control.

Same stage of the pathKafka & Event Streaming Engineering9 lessons

Teach data logic as a flow, with schema contracts, stream processing, and realistic failure handling.

Same stage of the pathS3, Data Lake, and Lakehouse Architecture12 lessons

Move from buckets with files to a readable, governed data lake compatible with modern lakehouse patterns.

Same stage of the pathData Warehousing & Analytical Architecture7 lessons

Truly understand how to design a scalable analytical system with correct grain, historization, and architectural trade-offs.

Previous moduleCourse Overview and Study Method for Data Work8 lessons

Transform the course from catalog to cognitive system, with study method, technical memory, and professional output plan.