*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
課程信息
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.
教學大綱 - 您將從這門課程中學到什麼
Introduction
This module introduces the course and agenda
Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
Serverless Messaging with Cloud Pub/Sub
This module talks about using Cloud Pub/Sub to ingest incoming streaming data
Cloud Dataflow Streaming Features
This module revisits Cloud Dataflow and focuses on its streaming data processing capabilities
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
Advanced BigQuery Functionality and Performance
This module dives into more advanced features of BigQuery
Summary
This module recaps the topics covered in course
審閱
來自BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GCP的熱門評論
Great course on understanding how to build streaming pipelines to ingest data into datalakes and datawarehouses , as well as techniques and technologies that support data querying optimization
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.
An excellent course. A great way to teach building streaming data pipelines and optimizing queries on BigQuery and BigTable (by , inter alia, partitioning data sets )through hands-on labs.
This one really helps!!! However, I would appreciate if dataflow job such as averagespeed was written in python. No worries I will write one myself!! Thanks a lot for everything!!!
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