*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
提供方
Google ????
课程信息
70,646 次近期查看
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为13 小时
建议：23 hours/week
英语（English）
字幕：英语（English）
教学大纲 - 您将从这门课程中学到什么
完成时间为 6 分钟
Introduction
This module introduces the course and agenda
完成时间为 6 分钟
2 个视频 （总计 6 分钟）
完成时间为 1 小时
Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
完成时间为 1 小时
1 个视频 （总计 7 分钟）
1 个视频
1 个练习
Introduction to Processing Streaming Data30分钟
完成时间为 2 小时
Serverless Messaging with Cloud Pub/Sub
This module talks about using Cloud Pub/Sub to ingest incoming streaming data
完成时间为 2 小时
6 个视频 （总计 31 分钟）
6 个视频
Cloud Pub/Sub Push vs Pull5分钟
Publishing with Pub/Sub code4分钟
Summary1分钟
Lab Intro: Publish Streaming Data into Pub/Sub18
Lab Solution: Publish Streaming Data into Pub/Sub10分钟
1 个练习
Serverless Messaging with Cloud Pub/Sub30分钟
完成时间为 2 小时
Cloud Dataflow Streaming Features
This module revisits Cloud Dataflow and focuses on its streaming data processing capabilities
完成时间为 2 小时
4 个视频 （总计 41 分钟）
4 个视频
Cloud Dataflow Windowing10分钟
Lab Intro: Streaming Data Pipelines21
Lab Solution: Streaming Data Pipelines25分钟
1 个练习
Cloud Dataflow Streaming Features30分钟
完成时间为 4 小时
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
完成时间为 4 小时
7 个视频 （总计 57 分钟）
7 个视频
Lab Intro: Streaming Analytics and Dashboards9
Lab Solution: Streaming Analytics and Dashboards14分钟
High-Throughput Streaming with Cloud Bigtable16分钟
Optimizing Cloud Bigtable Performance6分钟
Lab Intro: Streaming Data Pipelines into Bigtable16
Lab Solution: Streaming Data Pipelines into Bigtable12分钟
2 个练习
Streaming Analytics and Dashboards4分钟
High-Throughput Streaming with Cloud Bigtable30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
7 个视频 （总计 48 分钟）
7 个视频
GIS Functions10分钟
Demo: GIS Functions and Mapping with BigQuery16分钟
WITH Clauses vs Permanent Tables2分钟
Analytical window functions14分钟
Lab Intro: Optimizing your BigQuery Queries for Performance22
Performance Considerations2分钟
Lab Intro: Creating Date-Partitioned Tables in BigQuery14
1 个练习
BigQuery advanced functionality and performance considerations30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）
1 个视频
审阅
4.6
来自BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GCP的热门评论
由 GB 提供Mar 22, 2020
Overall content and coverage was good, but would suggest to have some detailed sessions around beam pipelines as well.
由 TE 提供Feb 10, 2020
A great way to start on the road to understanding streaming data and how to use it for insights
由 AA 提供Mar 19, 2020
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
由 SM 提供Feb 12, 2020
Course could be improved with more details on streaming especially on BEAM.
提供方
Google ????
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.
常见问题
????????????
???????????????????????????????????????????????
?????????????????
??????????????????????????????????????????????????????????
???????????
?????????????????????????????????????????????????????????????????????????????
?????????????
??????????????????????????????????????????????????????????
还有其他问题吗？请访问 学生帮助中心。