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Resilient Streaming Analytics on GCP (Japanese)

Learn to build real-time streaming data pipelines on Google Cloud using Pub/Sub, Dataflow, BigQuery, and Bigtable for efficient analytics.

Learn to build real-time streaming data pipelines on Google Cloud using Pub/Sub, Dataflow, BigQuery, and Bigtable for efficient analytics.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版 program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.8

(18 ratings)

Japanese

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Resilient Streaming Analytics on GCP (Japanese)

This course includes

10 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Interpret use cases for real-time streaming analytics

  • Manage data events using Pub/Sub asynchronous messaging service

  • Create streaming pipelines to perform transformations as needed

  • Integrate Dataflow, BigQuery, and Pub/Sub for real-time streaming and analytics

  • Optimize BigQuery queries for better performance

  • Implement high-throughput streaming with Bigtable

Skills you'll gain

Streaming Analytics
Google Cloud
Pub/Sub
Dataflow
BigQuery
Bigtable
Real-time Processing
Data Pipelines
Cloud Computing
Data Engineering

This course includes:

10 Hours PreRecorded video

6 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 8 modules in this course

This comprehensive course teaches how to build resilient streaming analytics systems on Google Cloud Platform. Students learn to process real-time streaming data using key GCP services including Pub/Sub for asynchronous messaging, Dataflow for aggregation and transformation, and BigQuery and Bigtable for analysis and storage. Through hands-on labs, participants gain practical experience constructing streaming data pipelines, optimizing performance, and creating real-time analytics dashboards. The course covers advanced features including windowing techniques, high-throughput streaming capabilities, and performance optimization strategies.

はじめに

Module 1 · 1 Minutes to complete

ストリーミング データの処理の概要

Module 2 · 9 Minutes to complete

Pub/Sub を使用したサーバーレス メッセージング

Module 3 · 2 Hours to complete

Dataflow のストリーミング機能

Module 4 · 1 Hours to complete

BigQuery と Bigtable の高スループットのストリーミング機能

Module 5 · 4 Hours to complete

高度な BigQuery の機能とパフォーマンス

Module 6 · 1 Hours to complete

コースのまとめ

Module 7 · 1 Minutes to complete

コースのリソース

Module 8 · 10 Minutes to complete

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Resilient Streaming Analytics on GCP (Japanese)

This course includes

10 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.