Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
提供方
Google 云端平台课程信息
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中级
完成时间大约为8 小时
英语（English）
字幕：英语（English）
您将学到的内容有
Understand use-cases for real-time streaming analytics.
Use Pub/Sub asynchronous messaging service to manage data events.
Write streaming pipelines and run transformations where necessary.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
完成时间大约为8 小时
英语（English）
字幕：英语（English）
提供方
Google 云端平台
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 分钟
Introduction
This module introduces the course and agenda
完成时间为 2 分钟
1 个视频 （总计 2 分钟）
完成时间为 10 分钟
Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
完成时间为 10 分钟
1 个视频 （总计 6 分钟）
完成时间为 2 小时
Serverless Messaging with Pub/Sub
This module talks about using Pub/Sub to ingest incoming streaming data
完成时间为 2 小时
7 个视频 （总计 27 分钟）
完成时间为 1 小时
Dataflow Streaming Features
This module revisits Dataflow and focuses on its streaming data processing capabilities
完成时间为 1 小时
4 个视频 （总计 11 分钟）
完成时间为 3 小时
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
完成时间为 3 小时
6 个视频 （总计 27 分钟）
完成时间为 3 小时
Advanced BigQuery Functionality and Performance
This module dives into more advanced features of BigQuery
完成时间为 3 小时
8 个视频 （总计 42 分钟）
完成时间为 1 分钟
Summary
This module recaps the topics covered in course
完成时间为 1 分钟
1 个视频 （总计 1 分钟）
审阅
- 5 stars67.01%
- 4 stars25.90%
- 3 stars5.44%
- 2 stars1.38%
- 1 star0.25%
来自BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD的热门评论
由 RK 提供Jun 2, 2021
Very useful course for data engineers specially covered lot of ways to optimize sql in bigquery
由 AJ 提供Oct 30, 2020
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
由 FM 提供Apr 28, 2020
Excellent, googles team explains things in a straightforward and hands-on manner that gets you ready to start integrating BigQuery, BigTable, DataFusion, and Data Studio in a matter of hours.
由 PG 提供Apr 22, 2020
very interesting, especially the part on the optimization of bigquery queries.
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