40 h

Duration

English

Language

Google Data Engineer

OBJECTIVEs:

Course features:

PRE-REQUISITES:

Learning Path

  • Overview of GCP and its data engineering services
  • Understanding GCP architecture and global infrastructure
  • Designing and building scalable data processing systems
  • Data ingestion and transformation with tools like Dataflow and Dataproc
  • ETL (Extract, Transform, Load) processes and best practices
  • Creating and managing data pipelines using Cloud Composer and Cloud Dataflow
  • Workflow orchestration and scheduling
  • Data quality and validation
  • Using BigQuery for data analysis and querying
  • Implementing data storage solutions with Cloud Storage, Bigtable, and Spanner
  • Optimizing performance and managing data partitions
  • Integrating machine learning with GCP tools like AI Platform and AutoML
  • Understanding data requirements for machine learning models
  • Implementing and deploying machine learning models
  • Implementing data security best practices
  • Managing data access and encryption
  • Ensuring compliance with regulatory requirements

LET'S SCHEDULE
A DEMO!