Deployment
Batch & Stream Processing — GCP Databricks
End-to-end GCP Databricks solution from cloud storage setup through a fully orchestrated medallion pipeline with streaming.
~40h·14 scenarios·0-1 years
ScenarioProject
Your Skill Path
14 modules · Masterclasses, hands-on scenarios & timed mock tests
1
Working with GCP
Batch Processing — Part 01Scenario
2
Data Ingestion and Transformation in Databricks
Batch Processing — Part 01Scenario
3
Implementing Code Versioning in Databricks and GitHub
Batch Processing — Part 02Scenario
4
Building Bronze Layer
Batch Processing — Part 02Scenario
5
Building Silver Layer
Batch Processing — Part 02Scenario
6
Building Dimensional Model for Gold Layer
Batch Processing — Part 02Scenario
7
Building Gold Layer
Batch Processing — Part 02Scenario
8
Handling Schema Evolution
Batch Processing — Part 03Scenario
9
Incremental Data Loading
Batch Processing — Part 03Scenario
10
Orchestrating ELT using Airflow (Google Composer)
Batch Processing — Part 03Scenario
11
Working with Streaming Data
Stream ProcessingScenario
12
Updating Bronze Layer using Auto Loader
Stream ProcessingScenario
13
Updating Silver Layer
Stream ProcessingScenario
14
Building Gold Layer (Streaming)
Stream ProcessingScenario
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