372 results

1. Course Featured

   Modernizing Data Lakes and Data Warehouses with Google Cloud

   The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a success…

2. Course Featured

   Data Catalog Fundamentals

   Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own t…

3. Lab Featured

   Derive Insights from BigQuery Data: Challenge Lab

   This challenge lab tests your skills and knowledge from the labs in the Derive Insights from BigQuery Data skill badge. You should be familiar with the content of the labs before attempting this lab.

4. Lab Featured

   Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab

   This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.

5. Lab Featured

   Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

   In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.

6. Course Featured

   Preparing for your Professional Data Engineer Journey

   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.

7. Course Featured

   Building Batch Data Pipelines on Google Cloud

   Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transfor…

8. Course Featured

   Introduction to Data Analytics on Google Cloud

   This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw…

9. Course Featured

   Google Cloud Big Data and Machine Learning Fundamentals

   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.

10. Lab Featured

    Build a Data Warehouse with BigQuery: Challenge Lab

    This challenge labs tests your skills in building a data warehouse using BigQuery.