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 Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using Google Cloud Skills Boost.
Building Resilient Streaming Analytics Systems on Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
36,801 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(1,251 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 7 hours
Learn at your own pace
70%
Most learners liked this course
What you'll learn
Interpret use-cases for real-time streaming analytics.
Manage data events using the Pub/Sub asynchronous messaging service.
Write streaming pipelines and run transformations where necessary.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
Skills you'll gain
- Data Architecture
- Public Cloud
- Real Time Data
- Live Streaming
- Cloud Services
- Data Storage
- Data Processing
- Cloud Applications
- Data Infrastructure
- Data Pipelines
- Cloud Computing
- Data Integration
- Google Cloud Platform
- Data Engineering
- Extract, Transform, Load
- Big Data
- Serverless Computing
- Data Storage Technologies
- Dataflow
- Multi-Cloud
Details to know
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Assessments
6 assignments
Taught in English
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There are 7 modules in this course
This module introduces the course and agenda
What's included
1 video
This modules talks about challenges with processing streaming data
What's included
1 video1 assignment
This module talks about using Pub/Sub to ingest incoming streaming data
What's included
7 videos1 assignment1 app item
This module revisits Dataflow and focuses on its streaming data processing capabilities
What's included
4 videos1 assignment1 app item
This modules covers BigQuery and Bigtable for streaming data
What's included
6 videos2 assignments2 app items
This module dives into more advanced features of BigQuery
What's included
7 videos1 assignment1 app item
This module recaps the topics covered in course
What's included
1 video
Instructor
Instructor ratings
4.6 (151 ratings)Offered by
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Learner reviews
4.6
1,251 reviews
- 5 stars
68.13%
- 4 stars
25.07%
- 3 stars
5.27%
- 2 stars
1.27%
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0.23%
Showing 3 of 1251
NC
5
Reviewed on Mar 14, 2021
This course has the most important technique for building streaming data and building efficient big queries.
MO
5
Reviewed on May 8, 2020
This course describes in a deep way the main concepts of streaming processing on GCP. The updates respect to previous course are very relevant.
AA
5
Reviewed on Mar 19, 2020
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
Recommended if you're interested in Information Technology
University of Illinois Urbana-Champaign
Status: [object Object]Google Cloud
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