Cloud Data Engineering: Transforming Enterprise Workflows

Businesses today are shifting from on-premises storage to cloud platforms like AWS, Azure, and Google Cloud. Cloud data engineering enables organizations to process data at scale while reducing costs. Real-time analytics, serverless computing, and scalable storage make cloud solutions more efficient than traditional systems. For professionals, this means mastering services like AWS Redshift, Azure Synapse, and BigQuery is now essential.

Example: Streaming IoT data into cloud pipelines helps industries like manufacturing and healthcare predict failures before they happen.