Member since 2023
Build Data Lakes and Data Warehouses on Google Cloud
Earned מרץ 8, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned נוב 23, 2023 EST
Build a Secure Google Cloud Network
Earned אוג 22, 2023 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned אוג 16, 2023 EDT
Preparing for your Professional Data Engineer Journey
Earned אוג 10, 2023 EDT
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.
Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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.