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Data Engineering Roadmap, Learning Path,& Career Track 2025

ProjectPro

Depending on the type of database a data engineer is working with, they will use specific software. Below, we mention a few popular databases and the different softwares used for them. The three most popular cloud service providing platforms are Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

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Azure SQL Database: The Future of Cloud Data Management

ProjectPro

To get answers to all these questions, read our ultimate guide on Azure SQL Database! Did you know that 85% of Fortune 500 companies use Azure SQL database as their relational database service? Google Cloud SQL supports MySQL and PostgreSQL. Azure SQL Database charges for computing and storage.

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PostgreSQL on Google Cloud SQL to MySQL Data Migration: 2 Easy Methods

Hevo

MySQL has remained the most popularly used open-source relational database for many years and continues to maintain its dominant position in the industry. Migrating data from PostgreSQL on Google Cloud SQL to MySQL […] Migrating data from PostgreSQL on Google Cloud SQL to MySQL […]

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7 Best Data Engineering Courses for Cloud Professionals

ProjectPro

Data engineering courses also teach data engineers how to leverage cloud resources for scalable data solutions while optimizing costs. Suppose a cloud data engineer completes a course that covers Google Cloud BigQuery and its cost-effective pricing model.

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Hevo Data is a Google Cloud Ready – Cloud SQL Designation Launch Partner

Hevo

Adding to the Google Cloud Ready – BigQuery designation, Hevo Data has now also achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server.

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Striim Achieves Google Cloud Ready — Cloud SQL Designation

Striim

We are proud to announce that Striim has successfully achieved Google Cloud Ready – Cloud SQL Designation for Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server.

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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform. Store the data in in Google Cloud Storage to ensure scalability and reliability. Load raw data into Google Cloud Storage, preprocess it using Mage VM, and store results in BigQuery.