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Jayanth Shanmugam Mallasamuthram Kailasam

Jest członkiem od 2025

Liga złota

4018 pkt.
Build Data Lakes and Data Warehouses on Google Cloud Earned sty 10, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace Earned sty 9, 2026 EST
Introduction to Data Engineering on Google Cloud Earned sty 9, 2026 EST
Build a Certification Study Guide: PDE Exam Prep Earned sty 6, 2026 EST

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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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

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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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