GCP-DDMLML: Developing Data Models with LookML
Turn complex data into trusted, business-ready models with LookML and Google Cloud Looker. Develop the skills to build and maintain ...
GCP-DWBQ: Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration
From data warehouse to autonomous data and AI platform. BigQuery is the autonomous data to AI platform, automating the entire ...
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-IDEGC: Introduction to Data Engineering on Google Cloud
Build a practical foundation in Google Cloud data engineering and understand how modern data moves from source to insight. Explore ...
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, ...
