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Ket Vui Chia

Jest członkiem od 2025

Google Cloud Data Analytics Essentials Earned paź 2, 2025 EDT
Share Data Using Google Data Cloud Earned sie 2, 2025 EDT
Tworzenie siatki danych przy użyciu Knowledge Catalog Earned lip 30, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud Earned lip 29, 2025 EDT
Przygotowywanie danych do użycia z interfejsami ML w Google Cloud Earned lip 27, 2025 EDT
Uzyskiwanie statystyk z danych BigQuery Earned lip 22, 2025 EDT
Build a Data Warehouse with BigQuery Earned lip 10, 2025 EDT
Streaming Analytics into BigQuery Earned lip 10, 2025 EDT
Introduction to Data Engineering on Google Cloud Earned cze 4, 2025 EDT
Gen AI Agents: Transform Your Organization Earned maj 27, 2025 EDT
Gen AI Apps: Transform Your Work Earned maj 26, 2025 EDT
Gen AI: Navigate the Landscape Earned maj 25, 2025 EDT
Gen AI: Unlock Foundational Concepts Earned maj 25, 2025 EDT
Intro to BigQuery: Analytics & Machine Learning Earned maj 20, 2025 EDT
Gen AI: Beyond the Chatbot Earned maj 19, 2025 EDT
Cloud Hero Network Skills Earned maj 16, 2025 EDT
Build a Certification Study Guide: PDE Exam Prep Earned maj 14, 2025 EDT
Cloud Hero Kubernetes Skills Earned maj 13, 2025 EDT
Cloud Hero for Cloud Digital Leader Earned maj 8, 2025 EDT
Generative AI and ML with Vertex AI Earned maj 6, 2025 EDT
Data Storage Quiz: Store and manage my data efficiently Earned kwi 11, 2025 EDT
Modernization Quiz: Modernize my existing applications Earned kwi 11, 2025 EDT
Scalability Quiz: Make my application scalable and reliable Earned kwi 11, 2025 EDT
Automation Quiz: Automate my development workflow Earned kwi 11, 2025 EDT
Data Defense Quiz: Secure my application and data Earned kwi 11, 2025 EDT
Data Insights Quiz: Analyze my data to gain insights Earned kwi 11, 2025 EDT

Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.

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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.

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Ukończ szkolenie wprowadzające Tworzenie siatki danych przy użyciu Knowledge Catalog, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: tworzenie siatki danych przy użyciu Knowledge Catalog w celu ułatwienia zarządzania danymi oraz ich wykrywania i ochrony w Google Cloud. Przećwiczysz i sprawdzisz swoje umiejętności w zakresie tagowania zasobów, przypisywania ról uprawnień i oceny jakości danych w Knowledge Catalog.

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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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Ukończ szkolenie wprowadzające Przygotowywanie danych do użycia z interfejsami ML w Google Cloud, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: czyszczenie danych przy użyciu usługi Dataprep firmy Trifacta, uruchamianie potoków danych w Dataflow, tworzenie klastrów i uruchamianie zadań Apache Spark w Managed Service for Apache Spark, a także wywoływanie interfejsów API dotyczących uczenia maszynowego, w tym Cloud Natural Language API, Google Cloud Speech-to-Text API oraz Video Intelligence API.

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Ukończ szkolenie wprowadzające Uzyskiwanie statystyk z danych BigQuery, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: pisanie zapytań SQL, tworzenie zapytań dotyczących tabel publicznych, wczytywanie przykładowych danych w BigQuery, naprawianie typowych błędów składniowych przy użyciu walidatora zapytań w BigQuery oraz tworzenie raportów w Data Studio przez tworzenie połączenia z danymi BigQuery.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

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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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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. Explore other content in the Gemini Agent Ready (GEAR) program.

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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and Gemini Notebook. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.

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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.

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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.

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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.

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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.

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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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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.

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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.

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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.

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Utilize Google's diverse storage and database options to handle various data types and workloads effectively.

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Transition your legacy applications to modern architectures using Google Cloud's containerization, serverless, and managed Kubernetes solution.

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Ensure your application can handle fluctuating traffic and remain available with Google''s robust infrastructure and auto-scaling features.

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Streamline your development process by using automated CI/CD pipelines, infrastructure provisioning, and serverless functions.

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Protect your applications and data with Google''s comprehensive security tools, ensuring confidentiality, integrity, and availability.

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Extract valuable insights from your data with Google's scalable analytics tools for processing, warehousing, and visualizing information.

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