Учасник із 2023
Data Lake Modernization on Google Cloud: Cloud Composer
Earned трав. 13, 2025 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned лют. 1, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned лист. 10, 2023 EST
Preparing for your Professional Data Engineer Journey
Earned лист. 7, 2023 EST
Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.
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 successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
Під час курсу ви зможете ознайомитися з продуктами й сервісами Google Cloud для роботи з масивами даних і машинним навчанням, які підтримують життєвий цикл роботи з даними для тренування моделей штучного інтелекту. У курсі розглядаються процеси, проблеми й переваги створення конвеєру масиву даних і моделей машинного навчання з Vertex AI у Google Cloud.
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.