Data Engineering, Big Data, and Machine Learning on GCP Specialization
Learn Google Cloud data engineering through four courses covering storage, batch and streaming pipelines, and practical machine learning labs.
Data engineering on AWS, Azure, Google Cloud, Snowflake and Databricks.
Learn Google Cloud data engineering through four courses covering storage, batch and streaming pipelines, and practical machine learning labs.
Learn Snowflake through guided lessons, assignments, and quizzes, with coverage spanning warehouse fundamentals and more advanced platform topics.
Almost all new data infrastructure is built in the cloud, and each platform has its own services, pricing model and certification path. This section covers the data services of AWS including S3, Glue, Redshift and Athena, the Azure stack including Data Factory, Synapse and Fabric, and Google Cloud with BigQuery and Dataflow, alongside platform-independent warehouses such as Snowflake and Databricks. Courses address architecture, security and access control, infrastructure as code, and the cost management skills that matter as much as technical design once a warehouse is serving the whole company.