GCP Data Engineering
GCP Data Engineering focuses on designing, building, and managing scalable data pipelines and analytics solutions using Google Cloud Platform (GCP). It enables organizations to process large volumes of data efficiently and convert raw data into meaningful insights for analytics, reporting, and machine learning.
A GCP Data Engineer works with core services such as BigQuery for data warehousing and analytics, Cloud Storage for scalable data storage, Dataflow for stream and batch data processing, Dataproc for Apache Spark and Hadoop workloads, Pub/Sub for real-time data streaming, and Cloud Composer for workflow orchestration. At LearnSoft, GCP Data Engineering training emphasizes hands-on learning with real-world scenarios, covering data ingestion, ETL/ELT pipelines, data modeling, performance optimization, security, and monitoring. This course is ideal for data professionals, software engineers, and cloud practitioners aiming to build a career in data engineering and prepare for Google Cloud Data Engineer certification.
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