Enroll in the Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版 to gain the skills necessary for success in data engineering roles and prepare for the Professional Data Engineer certification exam. This program equips learners with expertise in Google Cloud Platform's infrastructure and platform services, covering topics such as data lifecycle, big data analysis, machine learning, and AI solutions.
The course comprises hands-on labs using the Qwiklabs platform, allowing learners to apply concepts in practical exercises. Upon completion, participants will be well-prepared for the Associate Cloud Engineer certification exam, with a deep understanding of modernizing data lakes, building batch and streaming data pipelines, and leveraging smart analytics and AI on GCP. Take the first step towards career advancement in data engineering by enrolling in this comprehensive program.
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The course modules cover a wide range of topics including big data analysis, machine learning, data lakes, data warehouses, batch and streaming data pipelines, and exam preparation for the Professional Data Engineer certification.
Google Cloud Big Data and Machine Learning Fundamentals 日本語版 provides an understanding of data to AI lifecycle, big data analysis, and various methods for building machine learning solutions on Google Cloud. The module covers topics such as BigQuery, machine learning workflows using Vertex AI, and more.
Modernizing Data Lakes and Data Warehouses with GCP 日本語版 explores the differences between data lakes and data warehouses, understanding use cases for each storage type, and learning about Google Cloud's data lake and data warehouse solutions. Additionally, it covers the benefits of cloud-based data engineering.
Building Batch Data Pipelines on GCP 日本語版 delves into different data loading methods such as EL, ELT, and ETL, utilizing Hadoop on Dataproc, building data processing pipelines with Dataflow, and managing data pipelines using Data Fusion and Cloud Composer.
Building Resilient Streaming Analytics Systems on GCP 日本語版 provides insights into real-time streaming analytics use cases, managing data events using Pub/Sub, writing streaming pipelines, and interoperating Dataflow, BigQuery, and Pub/Sub for streaming and analytics.
Smart Analytics, Machine Learning, and AI on GCP 日本語版 covers real-time streaming and analytics use cases, managing data events using Pub/Sub, writing streaming pipelines, understanding both sides of streaming pipelines, and interoperating Dataflow, BigQuery, and Pub/Sub.
Preparing for the Google Cloud Professional Data Engineer Exam 日本語版 provides an overview of the Professional Data Engineer certification, offers information, tips, and advice for the exam, and guides candidates on the most important concepts to focus on for exam preparation.
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