What is GCP data engineering? & Key components Google Cloud Platform (GCP) data engineering refers to the set of services, tools, and practices offered by Google Cloud for designing, building, and managing data processing and analytics solutions. GCP provides a comprehensive suite of data engineering services that enable organizations to ingest, process, store, and analyze large volumes of data efficiently and at scale. These services support various data engineering tasks, including ETL (Extract, Transform, Load), data warehousing, streaming analytics, and machine learning. - GCP Data Engineering Training
Key components of GCP data engineering include: 1. Google Cloud Storage: •
GCP's object storage service that allows users to store and retrieve data in a highly scalable and durable manner. It is often used as a data lake for storing structured and unstructured data. - Google Cloud Data Engineering Course
2. BigQuery: •
Google's fully managed, serverless data warehouse allows for extremely quick SQL queries that take advantage of Google's infrastructure's processing capacity. BigQuery is suitable for interactive analytics on large datasets.