GCPDE: Data Engineering on Google Cloud
Design and operate scalable data pipelines on Google Cloud. Modern data platforms must collect, process, store, and analyze large volumes ...
GCPPPDE-E: Preparing for the Google Cloud Professional Data Engineer Examination
Start preparing for your Google Professional Data Engineer certification exam and further your ability to collect, transform, and publish data ...
GCP-MTDBQ: Migrating Teradata Users to BigQuery
Migrate Teradata Data Warehouses to BigQuery for Faster and More Scalable Analytics Why get trained: Learn how to translate Teradata ...
GCP-MRSBQ: Migrating Amazon Redshift Users to BigQuery
Migrate Amazon Redshift Workloads to BigQuery for Faster and More Scalable Analytics Why get trained: Learn how to migrate Amazon ...
GCP-MDMDP: Managing a Data Mesh with Dataplex
Build and Govern a Data Mesh with Dataplex on Google Cloud. Why get trained: Learn how to use Dataplex, BigQuery, ...
GCP-DICDF: Data Integration with Cloud Data Fusion
Build and Manage Data Pipelines with Google Cloud Data Fusion. Why get trained: Learn how to design batch and streaming ...
GCP-AWS: Google Cloud Fundamentals for AWS Professionals
This course introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, ...
GCP-SDPD: Serverless Data Processing with Dataflow
Unified stream and batch data processing that's serverless, fast, and cost-effective. By the end of 2024, 75% of enterprises will ...
