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Resilient Streaming Analytics on GCP (Japanese)
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Resilient Streaming Analytics on GCP (Japanese)

This course is part of multiple programs. Learn more.

Course Cost

Free course

Intermediate

Skill Level

8 Hours

Self-paced lessons

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

Japanese

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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

  • Visualize streaming analytics results

  • Build complete end-to-end streaming data pipelines

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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Share your certificate with prospective employers and your professional network on LinkedIn.

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Resilient Streaming Analytics on GCP (Japanese)

Intermediate

Skill Level

8 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.