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Raghu Ram Chinthakrinda

Date d'abonnement : 2021

Build Data Lakes and Data Warehouses on Google Cloud Earned juin 15, 2022 EDT
Build a Certification Study Guide: PDE Exam Prep Earned juin 12, 2022 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned juin 1, 2022 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.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.

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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.

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