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 BIDAcademy
36,822 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(1,252 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
- Google Cloud Platform
- Cloud Computing
- Data Storage
- Data Processing
- Data Integration
- Live Streaming
- Real Time Data
- Data Pipelines
- Data Infrastructure
- Big Data
- Cloud Applications
- Cloud Services
- Dataflow
- Serverless Computing
- Extract, Transform, Load
- Data Storage Technologies
- Data Engineering
- 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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4.6
1,252 reviews
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Showing 3 of 1252
HM
5
Reviewed on May 8, 2020
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
AJ
5
Reviewed on Oct 30, 2020
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
GS
4
Reviewed on May 26, 2020
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!!!
Recommended if you're interested in Information Technology
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