Cloud Learning
Cloud technology learning summary
Project info
Data Engineering & Analysis
2025/03
Introduction
A brief project description or quote to summarize its goals.
“GCP Meetup, recent readings, and business needs inspired me to explore cloud technologies. While I primarily focus on GCP, I also provide an overview of data services from other providers. ”
Table of Contents
Google Cloud Platform
Task 1 - Digital Leader Path
Preparation for the first step of certification:
- ✔️ Completed Skill Boost Digital Leader Path
- ✔️ Google Cloud Digital Leader Certification Guide - Book Summary
Task 2 - Completed Skill Boost Labs
Practical hands-on labs in a real cloud environment:
- ✔️ Derive Insights from BigQuery Data - Analytical SQL with BQ
- ✔️ Build a Data Warehouse with BigQuery - BigQuery DWH
- ✔️ Streaming Analytics into BigQuery - Pub/Sub, Dataflow (Beam), BigQuery
Read more in my Course Brief...
Microsoft Azure
Task 1 - End-to-End Cloud Project
A small project covering the full setup from database configuration to generating a Power BI report:
- ✔️ Setup Synapse workspace (Synapse Workspace, Data Lake Storage HNS, FileSystem)
- ✔️ Setup Serverless Database (dedicated DB with 'analytics' schema)
- ✔️ Load Parquet files into storage
- ✔️ Create View
- ✔️ Test Queries
- ✔️ Connect Power BI Desktop with the remote database as a data source
- ✔️ Create a base Power BI report (View + DAX)
Oracle Cloud Infrastructure
Task 1 - UI Overview
Familiarization with the Oracle Cloud interface:
- ✔️ Create Oracle Autonomous Data Warehouse
- ✔️ Create APEX Instance
Project Overview
In General
Components
Quick Summary
- Google Cloud Platform
- Azure Cloud
- Oracle Cloud Infrastructure
List of All Technologies
Grouped by Category
| Category | Technologies |
|---|---|
| Provider | GCP ✦ Azure ✦ OCI |
| Service | BigQuery ✦ Dataflow ✦ Pub/Sub ✦ Cloud Storage ✦ Synapse ✦ Power BI ✦ Azure Data Lake ✦ Autonomous Data Warehouse ✦ APEX |
| Learning Platform | Skill Boost Labs |
| DataSource | Parquet |
Components Specification
Detailed Information Grouped by Components
Table of Contents:
- Google Cloud Platform
- Azure Cloud
- Oracle Cloud Infrastructure
Details
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Google Cloud Platform
Tech Stack
Category Description Provider GCP Service BigQuery Service Dataflow Service Pub/Sub Service Cloud Storage Learning Platform Skill Boost Labs -
Azure Cloud
Tech Stack
Category Description Provider Azure Service Synapse Service Power BI Service Azure Data Lake DataSource Parquet -
Oracle Cloud Infrastructure
Tech Stack
Category Description Provider OCI Service Autonomous Data Warehouse Service APEX
Additional Information
- Domain: Data Engineering
- Status: in_progress
- Keywords: Cloud GCP Azure OCI Parquet Python PowerBi Storage
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