Building Resilient Streaming Analytics Systems on Google Cloud
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.
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
Syllabus
Syllabus - What you will learn from this course
Week 1
Introduction
Introduction to Processing Streaming Data
Serverless Messaging with Pub/Sub
Dataflow Streaming Features
Week 2
High-Throughput BigQuery and Bigtable Streaming Features
Advanced BigQuery Functionality and Performance
Summary
FAQ
Can I preview a course before enrolling?
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
What will I get when I enroll?
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
Reviews
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.
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
This course describes in a deep way the main concepts of streaming processing on GCP. The updates respect to previous course are very relevant.
Great course to understand how to create batch and streaming pipelines to ingest data into data lakes and data warehouses, and advanced bigquery techniques optimization.
