Member since 2023
Data Warehousing for Partners: Optimize in BigQuery
Earned дек. 5, 2023 EST
Preparing for your Professional Data Engineer Journey
Earned дек. 2, 2023 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned нояб. 19, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned нояб. 18, 2023 EST
Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.