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https://github.com/raqssoriano/hha504_assignment_dbs

This task is part of my assignment focused on managing database services in Azure and Google Cloud Platform (GCP). I am learning how to start, stop, and monitor database-related services, including BigQuery and MySQL.
https://github.com/raqssoriano/hha504_assignment_dbs

Last synced: 5 days ago
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Host: GitHub
URL: https://github.com/raqssoriano/hha504_assignment_dbs
Owner: raqssoriano
Created: 2024-10-21T02:33:21.000Z (25 days ago)
Default Branch: main
Last Pushed: 2024-10-21T05:21:50.000Z (25 days ago)
Last Synced: 2024-10-22T01:17:07.353Z (24 days ago)
Size: 8.68 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# **HHA504 || Working with Managed Databases in Azure and Google Cloud Platform (GCP)**
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- **📌** This task is part of my assignment focused on managing database services in **`Azure`** and **`Google Cloud Platform (GCP)`**. I am learning how to _*start*_, _*stop*_, and _*monitor*_ database-related services, including **`BigQuery`** and **`MySQL`**.

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# _*Steps Taken to Complete this Assignment*_

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## 1. Started and Configured a Managed Database

- ## _*Azure MySQL:*_
- Navigated to the **`Azure portal`** and created a MySQL flexible server.

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➙ Before I was able to successfully create one, I encountered multiple failed deployments due to reqion/location errors.

➙ **`South Central US`**: The only region/location that worked after multiple failed deployments.
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- The newly created SQL flexible server database and its configuration.

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- Created and added a database.

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- Started the database service and noted the connection details.

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- ## _*GCP MySQL:*_
- Accessed the Google Cloud Console and created a Cloud SQL instance with MySQL.

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- Configured the database instance similar to Azure.

- Start the database service and document the connection details.

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## 2. Monitored Database Services

- ## _*Azure:*_
- I learned different ways to navigate and monitor the performance and cost of the MySQL database. I explored metrics like CPU usage, memory, and query performance.

- ## _**GCP:**_
- Used the GCP Console to monitor the Cloud SQL instance and the BigQuery dataset. Paid attention to similar metrics and noted any differences in monitoring tools between the two platforms.

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## 3. Explored BigQuery (GCP)

- In GCP, I navigated to BigQuery and created a dataset named **`raqs_query_dataset`**.

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- Loaded a small sample data file into a table within the dataset (CSV file) and created a table named **`personality-types`**.
- Link to my chosen dataset: [Kaggle: Personality Types](https://www.kaggle.com/datasets/stealthtechnologies/predict-people-personality-types/data)

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- Ran two simple queries against the dataset to retrieve specific data.

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## 4. Reflections on Managing Databases: Azure vs. GCP

- **📌** _**Setting up and Configuring Databases**_

| **Azure** | **GCP** |
|------------------------------|-------------------------------|
| Azure portal provides a user-friendly interface for configuring databases, | GCP offers similar functions, but it provides a more straightforward interface for configuring and managing databases. |

- **📌** _**Monitoring Database Services**_

Both Azure and GCP offers robust monitoring tools.

| **Azure** | **GCP** |
|------------------------------|-------------------------------|
| Azure offers an extensive monitoring for services which includes databases | GCP offers similar strengths for its services |
| Both Azure and GCP gather different range of metrics and logs related to usage, availability, and performance. | Additionally, their dashboards are customizable. |
| Azure provides a centralized view of the costs beyond just database services, which gives me an option to analyze trends and set up budgets. | In my view, GCP offers more detailed billing information and cost breakdowns for the database services created.

- **📌** _**Creating and Making Queries**_

Both Azure and GCP offer tools for SQL databases.

| **Azure** | **GCP** |
|------------------------------|-------------------------------|
| Azure can handle SQL queries | GCP also handles SQL queries and offers BigQuery, which can handle large and complex analytical queries. I was able to run queries directly in the GCP console. |

- **📌** Both Azure and GCP provide comprehensive services for setting up, configuring, monitoring, and retrieving data from databases (SQL). The choice will depend on the specific needs of the user. I personally prefer GCP because I find it easier to use and navigate due to its more straightforward interface, making it a little less complicated.