*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
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118,139 最近の表示
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100%オンライン
自分のスケジュールですぐに学習を始めてください。
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中級レベル
約12時間で修了
英語
字幕：英語, スペイン語
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル
約12時間で修了
英語
字幕：英語, スペイン語
提供：
Google Cloud
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.
シラバス - 本コースの学習内容
6分で修了
Introduction
This module introduces the course and agenda
6分で修了
2件のビデオ （合計6分）
1時間で修了
Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
1時間で修了
1件のビデオ （合計7分）
1件のビデオ
1の練習問題
Introduction to Processing Streaming Data30 分
2時間で修了
Serverless Messaging with Cloud Pub/Sub
This module talks about using Cloud Pub/Sub to ingest incoming streaming data
2時間で修了
6件のビデオ （合計31分）
6件のビデオ
Cloud Pub/Sub Push vs Pull5 分
Publishing with Pub/Sub code4 分
Summary1 分
Lab Intro: Publish Streaming Data into Pub/Sub18
Lab Solution: Publish Streaming Data into Pub/Sub10 分
1の練習問題
Serverless Messaging with Cloud Pub/Sub30 分
2時間で修了
Cloud Dataflow Streaming Features
This module revisits Cloud Dataflow and focuses on its streaming data processing capabilities
2時間で修了
4件のビデオ （合計41分）
4件のビデオ
Cloud Dataflow Windowing10 分
Lab Intro: Streaming Data Pipelines21
Lab Solution: Streaming Data Pipelines25 分
1の練習問題
Cloud Dataflow Streaming Features30 分
4時間で修了
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
4時間で修了
7件のビデオ （合計57分）
7件のビデオ
Lab Intro: Streaming Analytics and Dashboards9
Lab Solution: Streaming Analytics and Dashboards14 分
High-Throughput Streaming with Cloud Bigtable16 分
Optimizing Cloud Bigtable Performance6 分
Lab Intro: Streaming Data Pipelines into Bigtable16
Lab Solution: Streaming Data Pipelines into Bigtable12 分
2の練習問題
Streaming Analytics and Dashboards4 分
High-Throughput Streaming with Cloud Bigtable30 分
3時間で修了
Advanced BigQuery Functionality and Performance
This module dives into more advanced features of BigQuery
3時間で修了
7件のビデオ （合計48分）
7件のビデオ
GIS Functions10 分
Demo: GIS Functions and Mapping with BigQuery16 分
WITH Clauses vs Permanent Tables2 分
Analytical window functions14 分
Lab Intro: Optimizing your BigQuery Queries for Performance22
Performance Considerations2 分
Lab Intro: Creating Date-Partitioned Tables in BigQuery14
1の練習問題
BigQuery advanced functionality and performance considerations30 分
1分で修了
Summary
This module recaps the topics covered in course
1分で修了
1件のビデオ （合計1分）
1件のビデオ
レビュー
BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GCP からの人気レビュー
MPにより2020年5月20日
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
FMにより2020年4月28日
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.
ASにより2020年6月28日
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.
GSにより2020年5月26日
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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