Associate Data Practitioner (ADP)
Build real cloud skills with guided labs on AWS and Google Cloud. Practice in live environments with instant access to real cloud resources. No cloud account required.
1 lab available
In this lab, you will use Google BigQuery to analyze datasets and identify trends and patterns. Then, you will visualize this data by creating dashboards in Looker based on specific business requirements. Throughout the lab, you will gain hands-on experience with SQL query construction, data visualization, and design principles for business reporting.
2 labs available
In this lab, you will explore how to implement governance policies for your data access in GCP by using Identity and Access Management (IAM) in conjunction with Cloud Storage. You will start by applying the principle of least privilege to Cloud Storage buckets and evaluate different storage classes. Furthermore, you will configure Cloud Storage lifecycle management policies to optimize storage costs. By the end of this lab, you will have a practical understanding of managing access to your data and economically managing storage lifecycle.
In this lab, you will learn how to configure and implement access control permissions in Google Cloud Storage, set up lifecycle management policies to optimize storage costs, and apply security and encryption measures to ensure data compliance. This hands-on lab focuses on demonstrating practical skills for configuring least privileged access and lifecycle rules for storage objects, helping you prepare for the data management section of the Associate Cloud Engineer exam.
1 lab available
In this lab, you'll learn to orchestrate a data pipeline using Google Cloud services such as BigQuery and Cloud Storage. You'll design a pipeline that reads data from CSV files stored in Cloud Storage, transforms it using BigQuery SQL, and loads the results into a BigQuery table. This hands-on experience will prepare you to automate, schedule, and monitor data processing tasks in GCP.
