Wykorzystuj swoje umiejętności w konsoli Google Cloud
Nicolas Alvarez
Jest członkiem od 2025
Liga złota
13130 pkt.
Tworzenie siatki danych przy użyciu Dataplex
Earned kwi 19, 2025 EDT
Build Streaming Data Pipelines on Google Cloud
Earned lut 24, 2025 EST
Build Batch Data Pipelines on Google Cloud
Earned lut 15, 2025 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned lut 5, 2025 EST
Introduction to Data Engineering on Google Cloud
Earned sty 31, 2025 EST
Preparing for your Professional Data Engineer Journey
Earned sty 31, 2025 EST
Ukończ szkolenie wprowadzające Tworzenie siatki danych przy użyciu Dataplex, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: tworzenie siatki danych przy użyciu Dataplex 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 Dataplex.
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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
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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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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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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.
Tworzenie siatki danych przy użyciu Dataplex
Earned kwi 19, 2025 EDT
Build Streaming Data Pipelines on Google Cloud
Earned lut 24, 2025 EST
Build Batch Data Pipelines on Google Cloud
Earned lut 15, 2025 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned lut 5, 2025 EST
Introduction to Data Engineering on Google Cloud
Earned sty 31, 2025 EST
Preparing for your Professional Data Engineer Journey
Earned sty 31, 2025 EST