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 Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
Offered By
Google CloudAbout this Course
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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
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Intermediate Level
Approx. 8 hours to complete
English
Subtitles: English
What you will learn
Understand use-cases for real-time streaming analytics.
Use Pub/Sub asynchronous messaging service to manage data events.
Write streaming pipelines and run transformations where necessary.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 8 hours to complete
English
Subtitles: English
Offered by
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.
Syllabus - What you will learn from this course
2 minutes to complete
Introduction
This module introduces the course and agenda
2 minutes to complete
1 video (Total 2 min)
10 minutes to complete
Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
10 minutes to complete
1 video (Total 6 min)
2 hours to complete
Serverless Messaging with Pub/Sub
This module talks about using Pub/Sub to ingest incoming streaming data
2 hours to complete
7 videos (Total 27 min)
1 hour to complete
Dataflow Streaming Features
This module revisits Dataflow and focuses on its streaming data processing capabilities
1 hour to complete
4 videos (Total 11 min)
3 hours to complete
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
3 hours to complete
6 videos (Total 27 min)
3 hours to complete
Advanced BigQuery Functionality and Performance
This module dives into more advanced features of BigQuery
3 hours to complete
8 videos (Total 42 min)
1 minute to complete
Summary
This module recaps the topics covered in course
1 minute to complete
1 video (Total 1 min)
Reviews
- 5 stars67.12%
- 4 stars25.83%
- 3 stars5.40%
- 2 stars1.37%
- 1 star0.25%
TOP REVIEWS FROM BUILDING RESILIENT STREAMING ANALYTICS SYSTEMS ON GOOGLE CLOUD
by AJOct 30, 2020
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
by HMMay 8, 2020
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
by TEFeb 10, 2020
A great way to start on the road to understanding streaming data and how to use it for insights
by RKJun 2, 2021
Very useful course for data engineers specially covered lot of ways to optimize sql in bigquery
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