Overview
This Building Resilient Streaming Analytics Systems on Google Cloud course offered by Coursera in partnership with Google Cloud introduces the fundamentals of streaming data pipelines, outlining overall learning objectives and a practical scenario used throughout the content and labs to make concepts tangible.
The course also explores streaming data use cases and architectures, covering applications and common patterns for real-time data processing across Streaming ETL, Streaming AI/ML, Streaming Applications, and Reverse ETL.
Additionally, it offers a comprehensive overview of core Google Cloud services for messaging, processing, and analysis, demonstrating how these components work together in a cohesive, real-time architecture, and concludes with a summary of key concepts for building resilient and robust streaming data pipelines on Google Cloud.
What you will learn
- Ingest and manage streaming data using Pub/Sub and Managed Service for Apache Kafka
- Build and deploy streaming data pipelines with Dataflow
- Implement streaming data solutions for real-time analytics and application serving with BigQuery and Bigtable
Programme Structure
Courses include:
- Pub/Sub and Managed Service for Apache Kafka
- Dataflow
- BigQuery
- Bigtable
- Stream Data with Pipelines
- Architectural considerations for Pub/Sub and Managed Service for Apache Kafka
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Web Technologies & Cloud Computing View 404 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
- This course is aimed at learners and data professionals who want to develop skills in designing and building real‑time streaming data pipelines on Google Cloud using services such as Pub/Sub, Dataflow, BigQuery, and Bigtable.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription