Учасник із 2019
Migration Summit 2022
Earned серп. 7, 2022 EDT
Preparing for Your Professional Data Engineer Journey - Locales
Earned лют. 20, 2021 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned лют. 19, 2021 EST
Google Cloud Big Data and Machine Learning Fundamentals - українська
Earned січ. 31, 2021 EST
The GSI Migration Summit is a curated collection of hands-on labs and quests that provide coverage of infrastructure, data, and application migration. Security and analytics labs and quests have been added to provide coverage of key platform concepts and services.
This course, Preparing for your Professional Data Engineer Journey - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in 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.
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.
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.